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)