Background

Social media offers organizations valuable insights into user feedback and public sentiment. Manual social media research can be impractical, and existing approaches to sentiment analysis have shown vulnerabilities. This project aims to address these challenges by developing an automated system to perform social media research and conduct aspect-based sentiment analysis utilizing state-of-the-art LLMs, such as GPT and Gemini.

Objectives

The aim of this project is to develop an automated system that conducts social media research and performs sentiment analysis utilizing state-of-the-art LLMs. In line with this agenda, this project is designed to achieve the following objectives:

1. Collect textual data from social media that are relevant to user-specified keywords.
2. Conduct aspect-based sentiment analysis on the collected data using LLMs.
3. Generate reports with appropriate visualizations to present the analysis result.