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TF Vectorization !
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Classroom Contents
Introduction to NLP and Topic Modeling
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- 1 Intro
- 2 Terminology: NLU vs. NLP vs. ASR
- 3 Applications of NLP
- 4 NLP Basics: Pre-processing
- 5 NLP Tools - Regular Expression IV
- 6 NLP Tools - Spacy vs. NLTK
- 7 Stemming
- 8 Lemmatization
- 9 Stopwords
- 10 Part of Speech (POS) Tagging
- 11 Terminology-Corpus
- 12 TF Vectorization !
- 13 TF Vectorization II - sklearn
- 14 Word Embedding - Learning • The basic idea of learning neural network word embeddings
- 15 FastText-gensim
- 16 Latent Dirichlet Analysis (LDA)
- 17 Contextualized Topic Models
