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Natural Language Processing using Python Table of Contents

Table of Content


NLP and Python

  • Installing and Setting Up NLTK
  • Implementing Simple NLP Tasks and Exploring NLTK Libraries
  • Part-Of-Speech Tagging
  • Stemming and Lemmatization
  • Named Entity Recognition


  • Frequency Distribution with NLTK
  • Frequency Distribution on Your Text with NLTK
  • Concordance Function in NLTK
  • Similar Function in NLTK
  • Dispersion Plot Function in NLTK
  • Count Function in NLTK

Building Your Own NLP Application Using Python NLTK

  • Introduction to Recurrent Neural Network and Long Short Term Memory
  • Programming Your Own Sentiment Classifier Using NLTK
  • Perform Sentiment Classification on a Movie Rating Dataset

Latent Semantic Analysis

  • Starting with Latent Semantic Analysis
  • Programming Example of Principal Component Analysis
  • Programming Example of Singular Value Decomposition

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