e-TurFinSAS: Entity Based Turkish Financial Sentiment Analysis System
This project aims to collect tweets shared on Twitter X about the top 100 companies listed on Borsa Istanbul (BIST100) and perform entity-based sentiment analysis on this data. Tweets will be classified as positive, negative, or neutral to analyze companies' social media perception and market dynamics. This approach will assist investors and analysts in predicting trends and help companies with brand strategies. Additionally, it will strengthen decision support mechanisms by developing early warning systems against financial crises.
| Name | Student Number |
|---|---|
| Taner Onur UYAR | 202011014 |
| Ahmet Eren YAĞLI | 202011038 |
| Ahmet Gökay ÜRKMEZ | 202011057 |
| Mert Şerafettin KARGI | 202011061 |
| Baha ÖÇALAN | 202011056 |
Dr. Gül TOKDEMİR