| Proj No. | A3099-251 |
| Title | Sentiment Analysis-Based Stock Market Prediction Using AI |
| Summary | The purpose of this project is to analyse news headlines and social media sentiment to predict stock price movements. In the first stage, student will be required to download stock price data from Yahoo Finance API and pull financial news from Google News or X API. The second stage will require Data Preprocessing (Remove stop words, punctuation), Performing Sentiment Classification and Converting sentiment scores into positive (1), neutral (0), negative (-1). In the third stage, student will build the Model (Merge stock data with sentiment scores and train XGBoost, Random Forest, or LSTM models). The final stage will Evaluate Model Performance and Compare sentiment-based predictions with actual stock movements to evaluate sentiment accuracy. The potential application of this project will be Real-time Trading Signals Based on Sentiment and Understanding Social Media Influence on Stocks. |
| Supervisor | A/P Mohammed Yakoob Siyal (Loc:S2 > S2 B2A > S2 B2A 28, Ext: +65 67904464) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Computer Engineering I (Loc: S2-B4c-15) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |