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Text Mining in Python

Topics

  • Regular Expression
  • Stopword Removal, Stemming
  • Creating features from text
  • Term Frequency and Inverse Document Frequency (TF-IDF)
  • Visualising text data and models
  • Sentiment Analysis (Using Naive Bayes Classifier)
  • Topic Modelling - Latent Dirichlet Allocation (LDA)