Implementation of various basic text analytics techniques and algorithms.

• Data Scraping
• Normalization/Preprocessing
  • Tokenization
• Vectorization: Feature Extraction
  • Bag of Words
  • TF-IDF
• Unsupervised Learning:
  • Document Similarity
    • Cosine Similarity
  • Document Clustering Algorithms
• Supervised Learning:
  • Classification Algorithms

• Word Clouds - simple term freq distribution of using NLTK and Word_Cloud library. (data: Gutenberg Project)