HOWTO: Teach Python to Read
summary
Practical walkthrough of Python NLP using NLTK 2 with notes about NLTK 3, showing how to load corpora (Gutenberg example uses Adventures of Sherlock Holmes), tokenize into sentences and words, filter stopwords, do POS tagging with the Penn Treebank tags, inspect WordNet synsets and antonyms, compare stemming algorithms (Porter, Lancaster, Snowball) and demonstrate Spanish stemming, and point to higher‑level tools (TextBlob, scikit‑learn) plus BeautifulSoup for cleanup.
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chapters (12)
- 0:00Start
- 4:09Documentation
- 7:32Information Retrieval
- 7:44Question Answering
- 9:02Speech Recognition
- 10:31Installation
- 13:03Text Corpus Reader
- 16:07Stop Words
- 20:30Tag Words Method
- 28:35Gutenberg Project
- 30:54Word Tokenizer
- 32:34Stimming
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