Popular GitHub Repositories for Opinions

Can ChatGPT really understand the opinions, sentiments, and emotions contained in the text? We provide a preliminary evaluation.

[AAAI2021] Unsupervised Opinion Summarization with Content Planning

[ACL2020] Unsupervised Opinion Summarization with Noising and Denoising

[AAAI 2020] Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction

A text summarization framework to identify major opinions from healthcare text

This project analyzes how users express their opinions about software applications on social media. It uses sentiment analysis to classify these opinions as positive, negative, or neutral.

This project is based on Sentiment analysis and it leverages NLP to analyze Textual Data consisting of Covid19 Tweets. The project aims to analyze datasets from a social point of view to help understand people's perceptions during the pandemic. It incorporates various machine learning models to classify the tweets and opinions into a segregated class by assigning polarity scores.

Twitter sentiment analysis project using machine learning to classify tweets and understand audience mood, opinions, and behavior trends in real-time.

This project aims to develop a machine learning-based sentiment analysis system tailored for the Amazon Reviews 2023 dataset. The dataset, collected by McAuley Lab in 2023, includes customer reviews across various products, capturing diverse opinions and sentiments. Specifically, this project focuses on the All_Beauty category.

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.