Natural Language Processing in Python

This post introduces Natural Language Processing (NLP) capabilities within the Hex platform. It details how to use Python libraries such as NLTK for tokenization, word frequency analysis, and stop word removal. It also covers sentiment analysis using NLTK's VADER lexicon and provides an introductory overview of topic modeling with the Gensim library. The post demonstrates practical applications of these NLP techniques, including analyzing text from web pages and social media, and highlights the importance of text cleaning and preparation.