Natural Language Processing and Computational Linguistics

Table of Contents

1. What is Text Analysis?
2. Python Tips for Text Analysis
3. spaCy
4. Gensim
5. POS-Tagging and its Applications
6. NER-Tagging and its Applications
7. Dependency Parsing
8. Top Models
9. Advanced Topic Modelling
10. Clustering and Classifying Text
11. Similarity Queries and Summarization
12. Word2Vec, Doc2Vec and Gensim
13. Deep Learning for text
14. Keras and spaCy for Deep Learning
15. Sentiment Analysis and ChatBots