You're reading from The Handbook of NLP with Gensim Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data

Product type Paperback

Published in Oct 2023

Publisher Packt

ISBN-13 9781803244945

Length 310 pages

Edition 1st Edition

Tools

fastText

Concepts

Mobile Application Development

Author (1):

Chris Kuo

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Table of Contents (24) Chapters

Preface

1. Part 1: NLP Basics

2. Chapter 1: Introduction to NLP FREE CHAPTER

3. Chapter 2: Text Representation

4. Chapter 3: Text Wrangling and Preprocessing

5. Part 2: Latent Semantic Analysis/Latent Semantic Indexing

6. Chapter 4: Latent Semantic Analysis with scikit-learn

7. Chapter 5: Cosine Similarity

8. Chapter 6: Latent Semantic Indexing with Gensim

9. Part 3: Word2Vec and Doc2Vec

10. Chapter 7: Using Word2Vec

11. Chapter 8: Doc2Vec with Gensim

12. Part 4: Topic Modeling with Latent Dirichlet Allocation

13. Chapter 9: Understanding Discrete Distributions

14. Chapter 10: Latent Dirichlet Allocation

15. Chapter 11: LDA Modeling

16. Chapter 12: LDA Visualization

17. Chapter 13: The Ensemble LDA for Model Stability

18. Part 5: Comparison and Applications

19. Chapter 14: LDA and BERTopic

20. Chapter 15: Real-World Use Cases

21. Assessments

22. Index

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23. Other Books You May Enjoy

Download the example code files

The Python notebooks are available for download at https://github.com/PacktPublishing/The-Handbook-of-NLP-with-Gensim. If there’s an update to the code, it will be updated in the GitHub repository. You are encouraged to use Google Colab. Google Colab is a free Jupyter Notebook environment that runs entirely in the cloud. Google Colab has already pre-installed popular machine-learning libraries such as pandas, NumPy, TensorFlow, Keras, and OpenCV.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Data for this book

The AG’s corpus of news articles, made public by A. Gulli, is a collection of more than 1 million news articles from more than 2,000 news sources. Zhang, Zhao, and LeCun sampled news articles from on “world”, “sports”, “business”, and “Science” categories. This dataset ag_news is a frequently used dataset and is available in Kaggle, PyTorch, Huggingface, and Tensorflow. There are 120,000 and 7,600 news articles in the training and testing samples respectively. This dataset is used throughout the book.

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You're reading from The Handbook of NLP with Gensim Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data

Table of Contents (24) Chapters

Download the example code files

Data for this book

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Authors (1)