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Lesson Description Beta This lesson is in the beta phase, which means that it is ready for teaching by instructors outside of the original author team.

    Lesson Description
    Text Analysis in Python
    • Text Analysis in Python
    • Key Points
    • Instructor Notes
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      • Discussion
      • Glossary
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    Text Analysis in Python
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    Summary and Schedule
    1. Introduction to Natural Language Processing
    2. Corpus Development- Text Data Collection
    3. Preparing and Preprocessing Your Data
    4. Vector Space and Distance
    5. Document Embeddings and TF-IDF
    6. Latent Semantic Analysis
    7. Intro to Word Embeddings
    8. The Word2Vec Algorithm
    9. Training Word2Vec
    10. Finetuning LLMs
    11. Ethics and Text Analysis

    • Key Points
    • Instructor Notes
    • Extract All Images

    • Discussion
    • Glossary

    See all in one page

    Instructor Notes

    FIXME

    Introduction to Natural Language Processing


    Corpus Development- Text Data Collection


    Preparing and Preprocessing Your Data


    Vector Space and Distance


    Document Embeddings and TF-IDF


    Latent Semantic Analysis


    Intro to Word Embeddings


    The Word2Vec Algorithm


    Training Word2Vec


    Finetuning LLMs


    Ethics and Text Analysis



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