ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and linguistic complexity. Ideal for businesses and researchers, it enhances understanding of textual data.

This project leverages Natural Language Processing (NLP) techniques to analyze the sentiment expressed in web content, providing insights into overall sentiment polarity, subjectivity, and readability of overall content.

This repository contains a Python script for webscraping articles and performing sentiment analysis, readability analysis, and other textual data analysis tasks. The analyzed data is then saved into an Excel file using the NLTK toolkit, Pandas, and regex.