PART-3: Natural Language Processing (NLP)
14. Introduction to Natural Language Processing
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NLTK, SPACY and built-in CORPUS
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The Bag-of-words strategy
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Tokenizing
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Sentence Tokenization
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Word Tokenizing
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Stopwords removal
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Language Detection
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Stemming
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Vectoring
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Count Vectorizing
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Uni-gram, Bi-gram, N-gram
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Tf-IdfVectorizing
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A sample text classifier based on the Reuters Corpus
15. Topic Modeling and Sentiment Analysis in NLP
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Topic Modelling
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Latent semantic analysis
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Probabilistic latent semantic analysis
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Latent Dirichlet Allocation (LDA)
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Sentiment Analysis
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VADER sentiment analysis with NLTK
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