Data Science: Natural Language Processing (NLP) in Python

 Data Science: Natural Language Processing (NLP) in Python - Applications: decrypting ciphers, spam detection, sentiment analysis, article spinners, and latent semantic analysis.

The article “Natural Language Processing (NLP) in Python” is a tutorial that explores the basics of natural language processing with code examples. It dives into the natural language toolkit (NLTK) library to present how it can be useful for natural language processing related-tasks1. The article is written for beginners and provides a step-by-step guide to master natural language processing in Python

What you'll learn

• Write your own cipher decryption algorithm using genetic algorithms and language modeling with Markov models
• Write your own spam detection code in Python
• Write your own sentiment analysis code in Python
• Perform latent semantic analysis or latent semantic indexing in Python
• Have an idea of how to write your own article spinner in Python

PREVIEW THIS COURSE - GET COUPON CODE