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

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

23. Other Books You May Enjoy

References

Kuo, Chris, “Feature Engineering for Healthcare Fraud Detection”, Medium.com (https://medium.com/dataman-in-ai/2-features-for-healthcare-fraud-waste-and-abuse-7c262ac59859)
CPT code list, CMS, https://www.cms.gov/license/ama?file=/files/zip/list-codes-effective-january-1-2023-published-december-1-2022.zip
Kuo, Chris, Handbook of Anomaly Detection: With Python Outlier Detection: Build and modernize your anomaly detection models with examples, 2023, https://a.co/d/8VcNnhc
J. M. Johnson and T. M. Khoshgoftaar, “Hcpcs2Vec: Healthcare Procedure Embeddings for Medicare Fraud Prediction,” 2020 IEEE 6th International Conference on Collaboration and Internet Computing (CIC), Atlanta, GA, USA, 2020, pp. 145–152, doi: 10.1109/CIC50333.2020.00026.
Posada Aguilar and Jose David, “Semantics Enhanced Deep Learning Medical Text Classifier,” (2018) Semantics Enhanced Deep Learning Medical Text Classifier. Doctoral Dissertation...

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