Coding with NLTK

NLTK is the oldest and most widely used library in NLP. It has many easy-to-use interfaces and stores over 50 corpora and lexical resources such as WordNet. WordNet is a large database for the semantic relations between nouns, verbs, adjectives, and adverbs. It can be seen as a digital dictionary and thesaurus. See Transfer Learning for Image Classification – (2) Trained Image Models [5] for more detail. NLTK has a suite of text-processing libraries. It performs NLP tasks including tokenization, tagging, parsing, and stemming. It also includes libraries that perform semantic reasoning, and wrappers for industrial-grade NLP tasks. It has been used by researchers, linguists, engineers, educators, researchers, and industry professionals.

Google Colab already has the popular NLTK functions installed. You just need to run the following syntax in Google Colab:

import nltknltk.download("popular")

Now, I am going to use NLTK to perform tokenization...