{"cells":[{"cell_type":"markdown","metadata":{"id":"8pq3Im-RSDOS"},"source":["# Tutorial on Analyzers for Education Language Data\n","\n","Welcome to this tutorial on using [`edu-convokit`](https://github.com/rosewang2008/edu_convokit) for analyzing your education language data!\n","Analyzing your data with `edu-convokit` can help you understand the language used by your students and educators.\n","In the [previous tutorial on `Annotator`](https://colab.research.google.com/drive/1rBwEctFtmQowZHxralH2OGT5uV0zRIQw), we learned how to annotate your data.\n","We will use those annotations to analyze your data in this tutorial.\n","\n","## Motivation on `Analyzer`\n","\n","Analysis on education data can happen in many ways.\n","- π It can happen **qualitatively** where you look at the data; for example, in the previous tutorial, we annotated the data for `student_reasoning` and you might be interested in looking at the specific instances of student reasoning.\n","- π It can happen **quantitatively** where you look at the data in aggregate; for example, you might be interested in the average amount of time the student and educator talk.\n","- π¬ You might be interested in **lexically** analyzing the data; for example, you might be interested in what words the student uses the most compared to the educator.\n","- π You might be interested in **temporally** analyzing the data; for example, you might be interested in the amount of time the student and educator talk over the course of their interaction.\n","- π€ You might also be interested in using **GPT** to analyze the data; for example, you might want GPT4 to summarize the transcript.\n","\n","## π Learning Objectives\n","\n","In this tutorial, you will learn how to use `Analyzer` to satisfy all these analysis needs. You will learn how to use\n","\n","1. The Analyzer Modules\n"," - π Qualitative Analyzer (Section Link π)\n"," - π Quantitative Analyzer (Section Link π)\n"," - π¬ Lexical Analyzer (Section Link π)\n"," - π Temporal Analyzer (Section Link π)\n"," - π€ GPT Conversation Analyzer (Section Link π)\n","2. The Different Data Entry Points for Analyzer\n"," - Single Transcript (Section Link π)\n"," - Data Directory (Section Link π)\n"," - List of Transcripts (Section Link π)\n","\n","If you are interested in seeing examples of these analyzers on full datasets, please check out our other tutorials where we apply everything to the:\n","- [NCTE dataset with an elementary math classroom data](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [TalkMoves dataset with a K-12 math classroom data](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [Amber dataset, with 8th/0th grade math tutoring data](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","\n","If you want to add additional analysis to `edu-convokit`, please make a pull request to the [repo](https://github.com/rosewang2008/edu-convokit/).\n","\n","Without further ado, let's get started!"]},{"cell_type":"markdown","metadata":{"id":"5Bm5JVWeSDOU"},"source":["## Installation\n","\n","As always, we will start by installing and importing `edu-convokit`.\n"]},{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20098,"status":"ok","timestamp":1703932978537,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"V0MfrSbPSDOV","outputId":"8fd548fc-affd-434e-e414-6b69ba1749ba"},"outputs":[{"name":"stdout","output_type":"stream","text":["Collecting git+https://github.com/rosewang2008/edu-convokit.git\n"," Cloning https://github.com/rosewang2008/edu-convokit.git to /private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-req-build-dmdqg8qr\n"," Running command git clone --filter=blob:none --quiet https://github.com/rosewang2008/edu-convokit.git /private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-req-build-dmdqg8qr\n"," Resolved https://github.com/rosewang2008/edu-convokit.git to commit 87734dbfd1847bdee563aafd6aa1307238ef1478\n"," Preparing metadata (setup.py) ... \u001b[?25ldone\n","\u001b[?25hRequirement already satisfied: tqdm in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (4.65.0)\n","Requirement already satisfied: numpy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (1.24.3)\n","Requirement already satisfied: scipy in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (1.10.1)\n","Requirement already satisfied: nltk in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (3.8.1)\n","Requirement already satisfied: torch in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (2.0.1)\n","Requirement already satisfied: transformers in /Users/rewang/miniconda3/lib/python3.11/site-packages (from edu-convokit==0.0.1) (4.29.2)\n","Requirement already 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/private/var/folders/ym/bc_swn410fz5j89bjtmslvzh0000gq/T/pip-ephem-wheel-cache-dfn5mogy/wheels/4b/9d/cf/a5b069f3d435ef1f583a9749713d46b338038ff982b0e7cb5e\n","Successfully built edu-convokit\n","Installing collected packages: edu-convokit\n","Successfully installed edu-convokit-0.0.1\n"]}],"source":["!pip install git+https://github.com/rosewang2008/edu-convokit.git"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"dlGlmK8fSDOW"},"outputs":[{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package stopwords to\n","[nltk_data] /Users/rewang/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]}],"source":["from edu_convokit.analyzers import (\n"," QualitativeAnalyzer,\n"," QuantitativeAnalyzer,\n"," LexicalAnalyzer,\n"," TemporalAnalyzer,\n"," GPTConversationAnalyzer\n",")\n","\n","# For helping us load data\n","from edu_convokit import utils"]},{"cell_type":"markdown","metadata":{"id":"Jo2zzSEDSDOW"},"source":["## π Data\n","\n","Let's load the data annotated from the [last tutorial on using the `Annotator` to annotate the data](TODO).\n","It's a transcript from the [TalkMoves dataset](https://github.com/SumnerLab/TalkMoves).\n","It contains our annotations on talk time, student reasoning, teacher focusing questions, and conversational uptake.\n"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":397},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"jSi92MGrSDOW","outputId":"9d1c010c-8408-49c4-9d59-c8125747ca28"},"outputs":[],"source":["!wget https://github.com/rosewang2008/edu-convokit/blob/main/data/annotated_data.csv\n","\n","data_fname = \"annotated_data.csv\"\n","df = utils.load_data(data_fname) # Handles loading data from different file types including: .csv, .xlsx, .json\n","\n","# Here are the same variables we used in the previous notebook\n","TEXT_COLUMN = \"Sentence\"\n","SPEAKER_COLUMN = \"Speaker\"\n","known_replacement_names = [f\"[STUDENT_{i}]\" for i in range(3)]\n","\n","# Annotation columns from the previous notebook\n","TALK_TIME_COLUMN = \"talktime\"\n","STUDENT_REASONING_COLUMN = \"student_reasoning\"\n","TEACHER_FOCUSING_QUESTION_COLUMN = \"focusing_questions\"\n","UPTAKE_COLUMN = \"uptake\"\n","\n","df.head()"]},{"cell_type":"markdown","metadata":{"id":"TuWoJm_4SDOW"},"source":["## π Qualitative Analysis\n","\n","Let's start by looking at the data qualitatively.\n","We will use the `QualitativeAnalyzer` to look at the data.\n","\n","Ever wondered whether there was a quick way to ...\n","- Look at examples of student reasoning?\n","- Look at examples of educator focusing questions?\n","- Look at examples of high conversational uptake by the educator?\n","\n","This is where the `QualitativeAnalyzer` comes in handy!\n","\n","Let's start by looking at examples of student reasoning."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":10,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"uBtCiL5fSDOW","outputId":"91cc464b-7f2e-4e05-e67f-3d9fc43d9c0d"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","\n","student_reasoning: 1.0\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","\n","student_reasoning: 1.0\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","\n"]}],"source":["qual_analyzer = QualitativeAnalyzer()\n","\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," # We want to look at examples for the reasoning feature\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," # We want to look at positive examples of reasoning\n"," feature_value=1.0,\n"," # Let's look at 3 examples\n"," max_num_examples=3\n",")"]},{"cell_type":"markdown","metadata":{"id":"pxNTnJS8SDOX"},"source":["π Great! This is a quick way to look at examples of student reasoning.\n","\n","If you're curious in looking at the preceding and succeeding utterances (for context), you can easily do that by specifying the number of lines:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"ymvdkfBQSDOX","outputId":"294b4c77-04e5-4f1e-fc02-f2d7cac639f4"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 1.0\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","\n","student_reasoning: 1.0\n","T: Ok\n","[STUDENT_1]: So thereβs six sixths\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","\n","student_reasoning: 1.0\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. Iβm confused about the little white rods, I am following you right up to that point.\n","\n"]}],"source":["qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," # We want to look at the previous 2 lines of context\n"," show_k_previous_lines=2,\n"," # We also want to look at the next 1 line of context\n"," show_k_next_lines=1\n",")"]},{"cell_type":"markdown","metadata":{"id":"aCAsuOJzSDOX"},"source":["π Awesome! Another handy way to use `QualitativeAnalyzer` is to look at both positive and negative examples of student reasoning.\n","You can do that by omitting the feature values specification:\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":8,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KF0N6N8DSDOX","outputId":"592f0531-103c-4634-a45a-b631f940e1cd"},"outputs":[{"name":"stdout","output_type":"stream","text":["student_reasoning: 0.0\n","T: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger and if so, if one is bigger, by how much. Why donβt you work with your partner and see what you can do.\n",">> [STUDENT_0]: Try the purples. Get three purples. It doesnβt work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n","\n","student_reasoning: 0.0\n","[STUDENT_0]: Try the purples. Get three purples. It doesnβt work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n",">> [STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n","\n","student_reasoning: 0.0\n","[STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n",">> [STUDENT_0]: Weβre not doing the one third, weβre doing two thirds. That is one third\n","[STUDENT_1]: First weβve got to find out what a third of it is. Whatβs a third of an orange?\n","\n","student_reasoning: 1.0\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n",">> [STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","\n","student_reasoning: 1.0\n","T: Ok\n","[STUDENT_1]: So thereβs six sixths\n",">> [STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","\n","student_reasoning: 1.0\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n",">> [STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. Iβm confused about the little white rods, I am following you right up to that point.\n","\n"]}],"source":["qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=STUDENT_REASONING_COLUMN,\n"," max_num_examples=3,\n"," show_k_previous_lines=2,\n"," show_k_next_lines=1,\n"," # feature_value=\"1.0\", Omitted!\n",")"]},{"cell_type":"markdown","metadata":{"id":"vuJsicX_SDOX"},"source":["π Great! Looking at examples of focusing questions and high conversational uptake will be similar to the example above for student reasoning."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":7,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"1vlH-X7WSDOX","outputId":"227158c4-75ad-4762-863b-00359c5df16a"},"outputs":[{"name":"stdout","output_type":"stream","text":["focusing_questions: 1.0\n","[STUDENT_1]: And you put six ones up to the dark green\n",">> T: Hold on, Iβm a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","[STUDENT_1]: One sixth\n","T: One sixth.\n","\n"]}],"source":["# Examples of focusing questions.\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=TEACHER_FOCUSING_QUESTION_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," show_k_previous_lines=1,\n"," # We might be more interested in the discourse that follows the focusing question!\n"," # So increasing `show_k_next_lines`\n"," show_k_next_lines=2,\n",")\n","\n","# There's only one example of focusing questions, so it'll only print out one example."]},{"cell_type":"markdown","metadata":{"id":"2o7TPbpdSDOX"},"source":["π‘ Note: This function shows us interesting examples of when teachers use focusing questions. This is a great way to get a sense of how the teacher uses questions to guide the discourse in teaching."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"Q1RVj8pMSDOX","outputId":"b85f9c91-da51-4d9a-ba81-40731ab4f313"},"outputs":[{"name":"stdout","output_type":"stream","text":["uptake: 1.0\n","[STUDENT_0]: Yeah, I know, and put βem up to there, and that would be one sixth. Hey, wait a minute, hey wait, maybe thatβs it, yeah itβs bigger by one sixth\n",">> T: Now take six of the ones Which is bigger?\n","\n","uptake: 1.0\n","[STUDENT_1]: And you put six ones up to the dark green\n",">> T: Hold on, Iβm a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","\n"]}],"source":["# Examples of focusing questions.\n","qual_analyzer.print_examples(\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," text_column=TEXT_COLUMN,\n"," feature_column=UPTAKE_COLUMN,\n"," feature_value=1.0,\n"," max_num_examples=3,\n"," # We're more interested in what precedes the high uptake.\n"," show_k_previous_lines=1,\n"," show_k_next_lines=0,\n",")"]},{"cell_type":"markdown","metadata":{"id":"sfT-21Z3SDOY"},"source":["π‘ Note: This shows us examples of when the teacher is building on the contribution of the student. This can be useful in seeing high engagement between the teacher and student."]},{"cell_type":"markdown","metadata":{"id":"ozT9Li4aSDOY"},"source":["Awesome, this conclude the tutorial on `QualitativeAnalyzer`.\n","For more information on this class, please refer to our [documentation](TODO).\n","\n","We're now going to move onto the `QuantitativeAnalyzer`."]},{"cell_type":"markdown","metadata":{"id":"MzhE8QNESDOY"},"source":["## π Quantitative Analysis\n","\n","Let's start by looking at the data quantitatively.\n","We will use the `QuantitativeAnalyzer` to look at the data.\n","\n","Ever wondered whether there was a quick way to report aggregate statistics on:\n","- Talk time?\n","- Student reasoning?\n","- Teacher focusing questions?\n","- Conversational uptake?\n","\n","This is where the `QuantitativeAnalyzer` comes in handy!"]},{"cell_type":"markdown","metadata":{"id":"z7TWe8BASDOY"},"source":["Let's say we want to understand the talk time percentage split between the student and educator.\n","We might want to know the statistic and plot the data.\n","Here's how we can do that:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":5,"status":"ok","timestamp":1703932982586,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bKW8nU8xSDOY","outputId":"043e966a-e7a6-4457-8233-20c2d677fea7"},"outputs":[{"name":"stdout","output_type":"stream","text":["talktime\n","\n","Proportion statistics\n"," count mean std min 25% 50% 75% max\n","speaker \n","T 1.0 0.252459 NaN 0.252459 0.252459 0.252459 0.252459 0.252459\n","T 2 1.0 0.218579 NaN 0.218579 0.218579 0.218579 0.218579 0.218579\n","[STUDENT_0] 1.0 0.144262 NaN 0.144262 0.144262 0.144262 0.144262 0.144262\n","[STUDENT_1] 1.0 0.377049 NaN 0.377049 0.377049 0.377049 0.377049 0.377049\n","[STUDENT_1] and [STUDENT_0] 1.0 0.005464 NaN 0.005464 0.005464 0.005464 0.005464 0.005464\n","[STUDENT_2] 1.0 0.002186 NaN 0.002186 0.002186 0.002186 0.002186 0.002186\n"]}],"source":["analyzer = QuantitativeAnalyzer()\n","\n","analyzer.print_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\" # We want to see the proportion of talk time\n",")"]},{"cell_type":"markdown","metadata":{"id":"Wj41-H5GSDOY"},"source":["π Great! This is a quick way to look at aggregate statistics on talk time.\n","\n","π‘ Note: In this single file, we can see under `mean` that `[STUDENT_1]` talks quite often --- about 38% of the time!\n","\n","β Curious about looking at aggregate statistics over multiple files? Jump to the section on [Data Entry Points](#data-entry-points-for-analyzer) to learn more.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"vApaOpY6SDOY"},"source":["Similarly, we can plot this statistics:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":478},"executionInfo":{"elapsed":651,"status":"ok","timestamp":1703932983233,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"SvyPwQTmSDOY","outputId":"0dd60f3d-93a5-4bfc-c7a3-438cdf0fb8dc"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["analyzer.plot_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"MBZNWYhySDOY"},"source":["The speaker names are too long and so they overlap. We can fix this by creating a dictionary that maps the speaker names to shorter names:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":495},"executionInfo":{"elapsed":399,"status":"ok","timestamp":1703932983630,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"MturhuoASDOY","outputId":"48b3219d-9b0d-46e8-a7b9-a8d5efa76b2f"},"outputs":[{"name":"stdout","output_type":"stream","text":["Mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["# Create speaker mapping to A, B, C, D\n","label_mapping = {\n"," speaker: chr(ord('A') + i) for i, speaker in enumerate(df[SPEAKER_COLUMN].unique())\n","}\n","\n","print(f\"Mapping: {label_mapping}\")\n","\n","# Pass this mapping into the analyzer\n","analyzer.plot_statistics(\n"," # Everything else is the same\n"," feature_column=TALK_TIME_COLUMN,\n"," df=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," # We want to use the mapping we created\n"," label_mapping=label_mapping\n",")"]},{"cell_type":"markdown","metadata":{"id":"C4UignsSSDOY"},"source":["π Great, these simple examples show how we can report quantitative statistics on talk time.\n","\n","The other statistics are similar to the example above for talk time. For conciseness, we will omit them here; but the only thing you need to do is change the `feature_column` argument to the feature you want to analyze."]},{"cell_type":"markdown","metadata":{"id":"HvFEDDc7SDOY"},"source":["We'll now move onto the `LexicalAnalyzer`."]},{"cell_type":"markdown","metadata":{"id":"oj-DUr3lSDOZ"},"source":["## π¬ Lexical Analysis\n","\n","A lexical analysis is an analysis on the words used in the data.\n","This is useful for understanding the low-level language (i.e., word usage) used by the student and educator.\n","While a lexical analysis may be too low-level for capturing e.g., the meaning of the discourse, it can be a useful first step in capturing language trends in the data.\n","\n","We will give a simple demonstration of two features of the `LexicalAnalyzer`:\n","- Word Frequency: We will look at the most frequent words used by each speaker.\n","- Log-Odds: We will look at the log-odds of words used by each speaker (i.e., which words are more likely to be used by the student vs. the educator)."]},{"cell_type":"markdown","metadata":{"id":"pnvN9tubSDOZ"},"source":["First, let's look at the most frequent words used by each speaker."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":268,"status":"ok","timestamp":1703932983895,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"KcHsx0k2SDOZ","outputId":"678524a6-07fb-4333-a0fc-69a2c717e07d"},"outputs":[{"name":"stderr","output_type":"stream","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data] Package stopwords is already up-to-date!\n"]},{"name":"stdout","output_type":"stream","text":["Top Words By Speaker\n","T\n","works: 6\n","one: 5\n","bigger: 4\n","models: 4\n","write: 3\n","\n","\n","[STUDENT_0]\n","one: 10\n","would: 5\n","third: 4\n","yeah: 3\n","bigger: 3\n","\n","\n","[STUDENT_1]\n","one: 16\n","two: 13\n","take: 9\n","put: 8\n","yeah: 8\n","\n","\n","[STUDENT_2]\n","one: 1\n","half: 1\n","\n","\n","[STUDENT_1] and [STUDENT_0]\n","well: 1\n","bigger: 1\n","one: 1\n","\n","\n","T 2\n","one: 9\n","two: 8\n","interesting: 5\n","okay: 4\n","twelfths: 4\n","\n","\n","\n"]}],"source":["\n","import nltk\n","nltk.download(\"stopwords\")\n","\n","analyzer = LexicalAnalyzer()\n","\n","analyzer.print_word_frequency(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to look at the top 5 words\n"," topk=5,\n"," # We want to format the text e.g., remove punctuation and stopwords (https://en.wikipedia.org/wiki/Stop_word)\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"rwJe7D4eSDOZ"},"source":["π Nice, that was easy!\n","\n","π‘ We can see that there's a lot of use of numbers and fractions (\"one\", \"third\"), in addition to comparison language (\"bigger\").\n","\n","If you want to see the most frequent words overall, you can omit the `speaker_column` argument:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":158,"status":"ok","timestamp":1703932984051,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"SqQkuvpQSDOZ","outputId":"c0c6f667-2c2d-4e37-8e18-37f012278828"},"outputs":[{"name":"stdout","output_type":"stream","text":["one: 42\n","two: 25\n","bigger: 15\n","yeah: 12\n","sixth: 11\n","\n"]}],"source":["analyzer.print_word_frequency(\n"," df=df,\n"," text_column=TEXT_COLUMN,\n"," # Bye! We don't care about the speaker anymore\n"," # speaker_column=SPEAKER_COLUMN,\n"," topk=5,\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"ID5leTsgSDOZ"},"source":["π Great, this is a quick way to look at the most frequent words used by each speaker.\n","\n","β Curious in looking into common n-grams for the speakers? Please refer to our [documentation](TODO) for more information.\n","\n","Let's now move onto the log-odds analysis."]},{"cell_type":"markdown","metadata":{"id":"eqnSBAjhSDOZ"},"source":["π‘ Why a log-odds analysis?\n","\n","Going beyond just counting frequent words in the student and teacher's utterances, we might be interested in the chances of a word occurring in the student's text over it occurring in the teacher's text.\n","\n","This gets us to a log-odds analysis on the words. For more information on log-odds analysis, please refer to [this paper](https://languagelog.ldc.upenn.edu/myl/Monroe.pdf) which applied the same analysis to study language use in political speeches.\n"]},{"cell_type":"markdown","metadata":{"id":"dFu3dUGnSDOZ"},"source":["In order to run a log-odds analysis, we need to specify two groups of texts we want to compare to each other.\n","In this case, we are interested in comparing the student's text to the teacher's text.\n","So let's split our original dataframe into these two groups and pass them into the log-odds analysis."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":230,"status":"ok","timestamp":1703932984279,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"MwyZSoZVSDOZ","outputId":"486ad4e4-ad20-4b69-8720-30ca320951fc"},"outputs":[{"name":"stdout","output_type":"stream","text":["Top words for Group 1\n","put: 1.5082544501223418\n","yeah: 1.4243179151183505\n","third: 1.323889968245073\n","take: 1.2333974083596422\n","green: 1.1289734037070032\n","\n","\n","Top words for Group 2\n","works: -1.5890822958913073\n","models: -1.5890822958913073\n","interesting: -1.447190205063502\n","see: -1.291347559145683\n","okay: -1.291347559145683\n","\n"]}],"source":["speakers = df[SPEAKER_COLUMN].unique()\n","# Student speakers are ones that contain STUDENT in their name\n","student_speakers = [speaker for speaker in speakers if \"STUDENT\" in speaker]\n","# Teacher speakers are all the other speakers\n","teacher_speakers = [speaker for speaker in speakers if speaker not in student_speakers]\n","\n","# Now let's split the data frame into two data frames: one for student speakers and one for teacher speakers\n","student_df = df[df[SPEAKER_COLUMN].isin(student_speakers)]\n","teacher_df = df[df[SPEAKER_COLUMN].isin(teacher_speakers)]\n","\n","# We can now run the analyzer:\n","analyzer.print_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," # We want to look at the top 5 words\n"," topk=5,\n"," # We still want to format the text\n"," run_text_formatting=True\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"cPDcA-w6SDOZ"},"source":["π Awesome, this shows us both the words and odds of the words used by the student (Group 1) and educator (Group 2).\n","\n","We can also plot this with a similar function call:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":516},"executionInfo":{"elapsed":864,"status":"ok","timestamp":1703932985141,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"bxzNuucaSDOZ","outputId":"403c2f16-44b6-4238-a4ca-d2037ba78ced"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["\n","analyzer.plot_log_odds(\n"," df1=student_df,\n"," df2=teacher_df,\n"," text_column1=TEXT_COLUMN,\n"," text_column2=TEXT_COLUMN,\n"," topk=5,\n"," run_text_formatting=True,\n"," # We can pass plot labels for group 1 and 2\n"," group1_name=\"Student\",\n"," group2_name=\"Teacher\"\n",")"]},{"cell_type":"markdown","metadata":{"id":"SyzzFtyeSDOe"},"source":["Neat, this concludes the tutorial on `LexicalAnalyzer`.\n","There are other features of the `LexicalAnalyzer` that we did not cover here such as reporting n-gram frequency or performing a log-odds analysis on n-grams.\n","For more information on these features, please refer to our [documentation](TODO).\n","\n","We'll now move onto the last analyzer, the `TemporalAnalyzer`!"]},{"cell_type":"markdown","metadata":{"id":"qrWrCPZXSDOe"},"source":["## π Temporal Analysis\n","\n","A temporal analysis is an analysis on the features over time.\n","We define time as the time over the course of the transcript.\n","\n","\n","Let's see how we can look at the talk time ratio (which we summarized before quantitatively) over time.\n","This setup will look similar to the quantitative analysis however the key difference is that we will specify a `num_bins` argument to specify the number of bins we want to split the transcript into.\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":495},"executionInfo":{"elapsed":1083,"status":"ok","timestamp":1703932986222,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"N0vcQ2ikSDOe","outputId":"36f6073a-9c36-40a8-9ec0-abb51059fd08"},"outputs":[{"name":"stdout","output_type":"stream","text":["Label mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["analyzer = TemporalAnalyzer()\n","\n","# We'll use the same label mapping as before to abbreviate the speaker names\n","print(f\"Label mapping: {label_mapping}\")\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to see the proportion of talk time\n"," value_as=\"prop\",\n"," # We will split the session into 5 bins\n"," num_bins=5,\n"," # We want to use the mapping we created\n"," label_mapping=label_mapping\n"," )\n"]},{"cell_type":"markdown","metadata":{"id":"0icWtQQhSDOe"},"source":["π Plotting the temporal data was straightforward!\n","\n","π‘ There are some interesting observations, for example:\n","- Speaker B ([STUDENT_0]) decreases their talk time over time whereas\n","- Speaker C (the other student, [STUDENT_1]) has fluctuating talk time over time.\n"]},{"cell_type":"markdown","metadata":{"id":"ZuvYrgFkSDOf"},"source":["Let's also look at the conversational uptake over time. Remember that conversational uptake is looking at how the teacher builds on the student's contribution.\n","So we'll only see values on the teacher speaker, and not the students (that's how the feature was annotated)."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":549},"executionInfo":{"elapsed":1801,"status":"ok","timestamp":1703932988019,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"0IPO97XYSDOf","outputId":"25ec7eb9-21b0-4881-9559-bb1867f4ee63"},"outputs":[{"name":"stdout","output_type":"stream","text":["Label mapping: {'T': 'A', '[STUDENT_0]': 'B', '[STUDENT_1]': 'C', '[STUDENT_2]': 'D', '[STUDENT_1] and [STUDENT_0]': 'E', 'T 2': 'F'}\n"]},{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.10/dist-packages/edu_convokit/analyzers/temporal_analyzer.py:57: RuntimeWarning: invalid value encountered in double_scalars\n"," f\"prop_speaker_{feature_column}\": speaker_df[feature_column].sum() / feature_sum,\n"]},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["# We'll use the same label mapping as before to abbreviate the speaker names\n","print(f\"Label mapping: {label_mapping}\")\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=UPTAKE_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," # We want to see the average uptake (this is different from proportion: average looks at within-speaker average, whereas proportion looks at across-speaker average)\n"," value_as=\"avg\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )"]},{"cell_type":"markdown","metadata":{"id":"Plt3Yeg4SDOf"},"source":["π‘ Super interesting! In this transcript, we see that the teacher's conversational uptake _decreases_ over time.\n","\n","This example shows how powerful a temporal analysis can be in understanding the data and how `TemporalAnalyzer` makes it easy to perform this analysis.\n","There are many other features that you can perform a temporal analysis on. For more information, please refer to our [documentation](TODO)."]},{"cell_type":"markdown","metadata":{},"source":["## π€ GPT Analysis\n","\n","Finally, we can use GPT to analyze the data. This is a powerful tool that can be used to summarize the transcript, or generate other natural language analysis insights. \n","\n","In order for this to work, you need to set your API key below.\n","\n","β οΈ **Warning**: Never publicly share your API key! If you are using this notebook in a public setting, please remove your API key before sharing. "]},{"cell_type":"code","execution_count":10,"metadata":{},"outputs":[],"source":["import os\n","os.environ[\"OPENAI_API_KEY\"] = \"YOUR_API_KEY\""]},{"cell_type":"markdown","metadata":{},"source":["Before we prompt the model, we can preview the prompt with the `preview_prompt` function. This will show us the prompt that will be sent to the model."]},{"cell_type":"code","execution_count":8,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Consider the following transcript of a conversation between a teacher and a student.\n","\n","Transcript:\n","T: I'm wondering which is bigger, one half or two thirds. Now before you model it you might think in your head, before you begin to model it what you is bigger and if so, if one is bigger, by how much. Why donβt you work with your partner and see what you can do.\n","[STUDENT_0]: Try the purples. Get three purples. It doesnβt work, try the greens\n","[STUDENT_1]: What was it? Two thirds?\n","[STUDENT_0]: It would be like brown or something like that.\n","[STUDENT_1]: Ok\n","[STUDENT_0]: Weβre not doing the one third, weβre doing two thirds. That is one third\n","[STUDENT_1]: First weβve got to find out what a third of it is. Whatβs a third of an orange?\n","[STUDENT_0]: One third?\n","[STUDENT_1]: Whatβs third of an orange? Letβs start a different model. The green. The green, half of it is the light green\n","[STUDENT_0]: Alright, yeah, I was thinking of that way before\n","[STUDENT_1]: And you can take the take the red, and the light green, and put it up to it , itβs, she asked, is one half bigger than, what did she ask? What did she ask?\n","[STUDENT_0]: She asked, which is bigger, one half or two thirds?\n","[STUDENT_1]: One half or two thirds? Now take six of the ones\n","[STUDENT_0]: Yeah, I know, and put βem up to there, and that would be one sixth. Hey, wait a minute, hey wait, maybe thatβs it, yeah itβs bigger by one sixth\n","T: Now take six of the ones Which is bigger?\n","[STUDENT_2]: One half \n","[STUDENT_0]: I think one half is...\n","T: Yes, [STUDENT_0] and [STUDENT_1]?\n","[STUDENT_0]: What do you have?\n","[STUDENT_1] and [STUDENT_0]: Well\n","[STUDENT_0]: we think\n","[STUDENT_1]: two thirds\n","[STUDENT_1] and [STUDENT_0]: is bigger than\n","T: You both agree?\n","[STUDENT_1]: one half by one sixth. Cause if you put six ones up to a whole\n","[STUDENT_0]: dark green\n","[STUDENT_1]: If you put it up to a whole\n","T: Iβm sorry, whatβs the number name for dark green\n","[STUDENT_1] and [STUDENT_0]: One\n","T: Ok.\n","[STUDENT_1]: And you put six ones up to the dark green\n","T: Hold on, Iβm a little confused. Tell me again. Six ones? You called this one? What are you calling these?\n","[STUDENT_1]: One sixth\n","T: One sixth.\n","[STUDENT_0]: And then these, this would be\n","[STUDENT_1]: Weβre calling them each sixths,\n","T: Ok\n","[STUDENT_1]: So thereβs six sixths\n","[STUDENT_0]: This would be one third, and this is one half of dark green, and then it would be bigger by one sixth, because\n","T: Do you both agree with that?\n","[STUDENT_1]: Yeah, mm hmm.\n","T: Ok, could you write that up? Uh, let me get you some paper, I want you to write that up. And see if you can make me - if it works for other models because some students donβt believe that it works for other models and I think you two believe that it works for other models\n","[STUDENT_1]: Mmm hmm, yeah\n","T: So can you try to find some so that you can try to convince them that it should work for other models, and come up with a way of explaining it to the class, ok? That if it works, if you really believe it, that if it works for one it works for others, and then write this up, let me get you some paper.\n","[STUDENT_1]: Seven, nine, ten, I need them. Go get another box.\n","T 2: Ok I see you had your hands up over here?\n","[STUDENT_1]: Yeah\n","T 2: Let me come around and see what youβre doing.\n","[STUDENT_1]: We found two answers\n","[STUDENT_0]: Well, I have three.\n","T 2: You have two solutions... three. Ok, let me hear about one of these models. Here, which one do you want to tell me about?\n","[STUDENT_1]: That one.\n","T 2: Yeah, that's an interesting looking one, tell me about it.\n","[STUDENT_1]: Now if you call this rod one...\n","T 2: The orange and red together?\n","[STUDENT_1]: Yeah, and you take the two dark green rods, those are the halves... And you take two thirds, and put it up to it, and you take... two sixths, it's bigger than two sixths. And in this one, it you take this ...\n","T 2: Can we go back to that one again?\n","[STUDENT_1]: I mean it's bigger than one tenth, I mean twelfth, one twelfth, one twelfth.\n","T 2: How does that work? I'm confused about that. Iβm confused about the little white rods, I am following you right up to that point.\n","[STUDENT_1]: If you put the white rods up to here, there's twelve of them, and then you call them twelfths, because there are twelve of them.\n","T 2: All right, okay.\n","[STUDENT_1]: And then you take the two thirds, and you take two twelfths, and then you put it up to the thirds and it is bigger by two tens... two twelfths.\n","T 2: By two twelfths, okay.\n","[STUDENT_1]: If you use this model...\n","T 2: Uh hmm.\n","[STUDENT_1]: And if you use this model\n","T 2: Uh hmm.\n","[STUDENT_1]: And you call these sixths, and you put this one up to it and it is bigger than one sixth.\n","T 2: Okay, so here it was bigger by two twelfths and here it was bigger by one sixth.\n","[STUDENT_1]: Yeah.\n","T 2: That's interesting. Could we call the difference between the two thirds and the one half in this model another number name besides two twelfths?\n","[STUDENT_1]: Um, yeah, well, maybe...\n","T 2: You said two of those little white ones were two twelfths, right?\n","[STUDENT_1]: Yeah, and maybe since two of these little white ones equals up to one of these or it's one fifth, oh, I mean one sixth, the reds\n","T 2: Oh, that's interesting, that's kind of interesting, then, so if you then used the reds to describe the difference, you could call this one sixth, the difference.\n","[STUDENT_1]: Uh hmm.\n","T 2: And over here one of the whites you say is one sixth?\n","[STUDENT_1]: Yeah.\n","T 2: Oh, thatβs interesting, two different models. Okay.\n","\n","Please summarize the conversation in a few sentences.\n","\n","Summary:\n"]}],"source":["analyzer = GPTConversationAnalyzer()\n","prompt = analyzer.preview_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," format_template=\"{speaker}: {text}\",\n"," )\n","print(prompt)"]},{"cell_type":"markdown","metadata":{},"source":["Now you can prompt the model with the `prompt_model` function. This will return the response from the model."]},{"cell_type":"code","execution_count":9,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["The teacher asked the students to determine which is larger, one half or two thirds, and by how much. The students used different colored rods to represent fractions and concluded that two thirds is larger than one half by one sixth. They then tested their theory with different models, using different rods to represent different fractions, and found that their conclusion held true. The teacher encouraged them to write up their findings and explain them to the class.\n"]}],"source":["prompt, response = analyzer.run_prompt(\n"," df=df,\n"," prompt_name=\"summarize\",\n"," text_column=TEXT_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," model=\"gpt-4\",\n"," format_template=\"{speaker}: {text}\",\n"," )\n","print(response)"]},{"cell_type":"markdown","metadata":{},"source":["There are many other prompts that you can perform a GPT analysis on. For more information, please see our prompts database [here](https://github.com/rosewang2008/edu-convokit/tree/main/edu_convokit/prompts/)."]},{"cell_type":"markdown","metadata":{"id":"LRhJXgt1SDOf"},"source":["## Data Entry Points for Analyzer\n","\n","In the previous sections, we looked at how to use the `Analyzer` modules on a single transcript.\n","However, you might be interested in analyzing multiple transcripts at once.\n","In this section, we will look at the different data entry points for the `Analyzer` modules.\n","We'll use the `TemporalAnalyzer` as an example for demonstrating the different data entry points."]},{"cell_type":"markdown","metadata":{"id":"iiP-beWYSDOf"},"source":["### Single Transcript\n","\n","In the previous example, we saw how to analyze a single transcript. We did this by loading the transcript into a dataframe and passing it into every function call of `TemporalAnalyzer` like:\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1869,"status":"ok","timestamp":1703932989886,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"dUrIfQuFSDOf","outputId":"426921fb-8bdd-4726-89a9-5db53f16e5fb"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["analyzer = TemporalAnalyzer()\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )"]},{"cell_type":"markdown","metadata":{"id":"EFjRkmhFSDOf"},"source":["Another way, we could have done this is by passing either (a) the transcript file path or (b) dataframe into the `TemporalAnalyzer` constructor:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":920},"executionInfo":{"elapsed":2380,"status":"ok","timestamp":1703932992263,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"zEWhGKldSDOf","outputId":"12a8c3d9-b652-433a-f8bc-875a75b7be1e"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["# (a) Passing in the filename\n","analyzer = TemporalAnalyzer(filenames=data_fname)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," # We don't need to pass in the data frame anymore\n"," # dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )\n","\n","# (b) Passing in the data frame\n","analyzer = TemporalAnalyzer(dfs=df)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," # We don't need to pass in the data frame anymore\n"," # dfs=df,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n"," label_mapping=label_mapping\n"," )\n"]},{"cell_type":"markdown","metadata":{"id":"VRQKHXmISDOf"},"source":["As expected, we get the same results as before."]},{"cell_type":"markdown","metadata":{"id":"eTS_ryshSDOf"},"source":["### Data Directory\n","\n","Let's say we have a directory of transcripts and we want to analyze all of them.\n","We can do this by passing the directory path into the `TemporalAnalyzer` constructor, and then analyzing the data:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":322,"status":"ok","timestamp":1703932992582,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"vefz2VtjSDOf","outputId":"56ffa367-1283-413f-d87b-924efa365e28"},"outputs":[{"name":"stdout","output_type":"stream","text":["--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4244.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 27052 (26K) [text/plain]\n","Saving to: βsample_data_colab/4244.csvβ\n","\n","\r sample_da 0%[ ] 0 --.-KB/s \rsample_data_colab/4 100%[===================>] 26.42K --.-KB/s in 0.002s \n","\n","2023-12-30 10:43:12 (15.8 MB/s) - βsample_data_colab/4244.csvβ saved [27052/27052]\n","\n","--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4245.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.109.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 30713 (30K) [text/plain]\n","Saving to: βsample_data_colab/4245.csvβ\n","\n","sample_data_colab/4 100%[===================>] 29.99K --.-KB/s in 0.003s \n","\n","2023-12-30 10:43:12 (11.1 MB/s) - βsample_data_colab/4245.csvβ saved [30713/30713]\n","\n","--2023-12-30 10:43:12-- https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4246.csv\n","Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.110.133, 185.199.108.133, ...\n","Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n","HTTP request sent, awaiting response... 200 OK\n","Length: 14760 (14K) [text/plain]\n","Saving to: βsample_data_colab/4246.csvβ\n","\n","sample_data_colab/4 100%[===================>] 14.41K --.-KB/s in 0s \n","\n","2023-12-30 10:43:12 (65.8 MB/s) - βsample_data_colab/4246.csvβ saved [14760/14760]\n","\n"]}],"source":["# Let's first prepare the data directory\n","DATA_DIR = \"sample_data_colab\"\n","!mkdir -p $DATA_DIR\n","\n","# Let's download the data and save it to the data directory. We'll use three transcripts as examples.\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4244.csv -O $DATA_DIR/4244.csv\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4245.csv -O $DATA_DIR/4245.csv\n","!wget https://raw.githubusercontent.com/rosewang2008/edu-convokit/master/data/analyzers/4246.csv -O $DATA_DIR/4246.csv\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1444,"status":"ok","timestamp":1703932994024,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"k-2FJs7JSDOf","outputId":"d46b95b7-04ec-4204-fe4c-8893ab463d93"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["# Now let's analyze the data in this directory.\n","analyzer = TemporalAnalyzer(data_dir=DATA_DIR)\n","\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n",")"]},{"cell_type":"markdown","metadata":{"id":"RQf0imr8SDOf"},"source":["π‘ Neat! On this directory of transcripts, we see that the talk time ratio is pretty consistent during the tutoring session: The Tutor talks about 80% of the time and the Student talks about 20% of the time.\n","\n","There also seems to be a speaker named None --- this is coming from missing annotations in the Amber dataset: [link](https://github.com/rosewang2008/edu-convokit/blob/main/data/analyzers/4245.csv).\n"]},{"cell_type":"markdown","metadata":{"id":"8Mj8Xx-NSDOg"},"source":["### Multiple Transcripts\n","\n","Let's say we have a list of _specific_ transcripts and we want to analyze them.\n","We can easily do this by passing the list of transcript file paths into the `TemporalAnalyzer` constructor, and then analyzing the data:"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":477},"executionInfo":{"elapsed":1465,"status":"ok","timestamp":1703932995488,"user":{"displayName":"Rose Wang","userId":"08647070137360066467"},"user_tz":480},"id":"rgzPPt2uSDOg","outputId":"51d5fd12-b669-414b-c77c-1555ae22c1ae"},"outputs":[{"data":{"image/png":"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","text/plain":[""]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":[""]},"metadata":{},"output_type":"display_data"}],"source":["import os\n","filenames = [\n"," # Let's just analyze two of the transcripts\n"," os.path.join(DATA_DIR, \"4244.csv\"),\n"," os.path.join(DATA_DIR, \"4246.csv\"),\n","]\n","analyzer = TemporalAnalyzer(filenames=filenames)\n","\n","# Same function call\n","analyzer.plot_temporal_statistics(\n"," feature_column=TALK_TIME_COLUMN,\n"," speaker_column=SPEAKER_COLUMN,\n"," value_as=\"prop\",\n"," num_bins=5,\n",")\n"]},{"cell_type":"markdown","metadata":{"id":"-Jf5-6nnSDOg"},"source":["## π Conclusion and Where to Go From Here\n","\n","In this tutorial, we learned how to use `Analyzer` to analyze our data. We learned how to use:\n","- π `QualitativeAnalyzer` to look at examples of annotations, such as student reasoning.\n","- π `QuantitativeAnalyzer` to look at aggregate statistics on annotations, such as talk time.\n","- π¬ `LexicalAnalyzer` to look at the words used in the data, such as the most frequent words used by the student or the words that distinguish the student from the educator.\n","- π `TemporalAnalyzer` to look at the annotations over time, such as the talk time ratio over time.\n","- π€ `GPTAnalyzer` to use GPT to analyze the data, such as summarizing the transcript.\n","\n","Additionally, we learned about the different data entry points for `Analyzer`, such as a single transcript, a directory of transcripts, or a list of transcripts.\n","\n","This concludes the final general tutorial on `edu-convokit`! π\n","\n","\n","What are some natural next steps? If you are interested in seeing examples of these analyzers on **full** datasets, please check out our other tutorials where we apply everything to the:\n","- [NCTE dataset with an elementary math classroom data](https://colab.research.google.com/drive/1k3fn6uY4QRMtPUZN6hpMd6o-0g7fYotg)\n","- [TalkMoves dataset with a K-12 math classroom data](https://colab.research.google.com/drive/1qt_S3GjxIwXk6ONztbYAHeX8WHy1uxDd)\n","- [Amber dataset, with 8th/9th grade math tutoring data](https://colab.research.google.com/drive/1Q3anUPcemMils4cz2gwEwDdKCjEdm6T9)\n","\n","For additional tutorials on `edu-convokit`, please refer to our [documentation](https://edu-convokit.readthedocs.io/en/latest/).\n","\n","If you have any questions, please feel free to reach out to us on [`edu-convokit`'s GitHub](https://github.com/rosewang2008/edu-convokit).\n","\n","π Happy exploring your data with `edu-convokit`!"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"7H9MIanCo5kS"},"outputs":[],"source":[]}],"metadata":{"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.5"}},"nbformat":4,"nbformat_minor":0}