NLP is one of the components of Artificial intelligence which is the ability of a computer program to understand the human speech.

Now, let's dig deep to learn how we can make a fully fledged model to understand textual data.

In today's lecture we learned some of the core concepts invloved in Natural language processing such as :-

• Sentence Splitter
• Tokenization
• POS (part of speech tagging)
• Stop-word Removal
• Stemming
• Lemmatization
• Chunking
• Deep Parsing
• Word Cloud
• TF-IDF

Lets review some of the concepts taught in the class. At the end of the assignment you'll be able to:

• Implement the necessary preprocessing steps required while processing natural language.
• Show contextual understanding learned by machine.

For this exercise, we will use the Twenty Newsgroups Data Set,which comprises of 20000 messages taken from 20 newsgroups.