Book Content
chapters • 10h32m total length
1. Understanding the Basics of NLP
2. NLP Using Python
3. Building your NLP Vocabulary
4. Transforming Text into Data Structures
5. Word Embeddings and Distance Measurements for Text
6. Exploring Sentence-, Document-, and Character-Level Embeddings
7. Identifying Patterns in Text using Machine Learning
8. From Human Neurons to Artificial Neurons for Understanding Text
9. Applying Convolutions to Text
10. Capturing Temportal Relationships in Text
11. State of the Art in NLP
