NLP Pipelines
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01. NLP and Pipelines
02. How NLP Pipelines Work
03. Text Processing
04. Cleaning
05. Notebook: Cleaning
06. Normalization
07. Notebook: Normalization
08. Tokenization
09. Notebook: Tokenization
10. Stop Word Removal
11. Notebook: Stop Words
12. Part-of-Speech Tagging
13. Named Entity Recognition
14. Notebook: POS and NER
15. Stemming and Lemmatization
16. Notebook: Stemming and Lemmatization
17. Text Processing Summary
18. Feature Extraction
19. Bag of Words
20. TF-IDF
21. Notebook: Bag of Words and TF-IDF
22. One-Hot Encoding
23. Word Embeddings
24. Modeling
25. [OPTIONAL] Word2Vec
26. [OPTIONAL] GloVe
27. [OPTIONAL] Embeddings for Deep Learning
28. [OPTIONAL] t-SNE
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08. Tokenization
Tokenization
Tokenization
Reference:
nltk.tokenize
package:
http://www.nltk.org/api/nltk.tokenize.html
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