Natural Language Processing (NLP) Using Python Video

Natural Language Processing (NLP) Using Python Video

Objectives:

1. Manipulate data and using Regular Expressions (Regex).
2. Access files and read text, through retrieving directories, reading text (.txt) files, reading MS Word (.docx) documents, reading .pdf files, and reading and accessing NLTK corpora.
3. Extract, clean, and preprocess text.
4. Apply tokenization, bigrams, trigrams, and ngrams, stemming, lemmatization, and stop-word removal.
5. Analyze sentence structure and classify text.
6. Includes applying syntax trees, chunking of words, chinking of words, and context-free grammar (CFG).
7. Create a machine learning classifier to perform sentiment analysis.

Instructor: Abhishek Chhibber

Length: 1 hour

Access period: For one year starting from purchase date