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Text Analysis in Python

Text Analysis in Python
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Text Analysis in Python

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EPISODES

Summary and Setup

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

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Last updated on 2025-05-01 | Edit this page

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