Popular GitHub Repositories for Attitudes

Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit

Customer sentiment analysis is the process of using natural language processing (NLP) and machine learning techniques to analyze and understand the feelings, opinions, and attitudes expressed by customers in textual data, such as reviews, feedback, and social media posts.

This repository showcases a project that analyzes and visualizes sentiment patterns in Twitter data. It employs text preprocessing, exploratory data analysis, and a Naive Bayes classifier to understand public opinion and attitudes toward various topics and brands.