Twitter Sentiment Analysis
Overview
Developed a deep learning model to detect signs of depression from tweets collected during the COVID-19 pandemic using NLP techniques and neural networks.
Technical Implementation
- Collected over 50,000 tweets using Twitter API
- Preprocessed text using tokenization and TF-IDF
- Trained CNN-LSTM hybrid model (87% precision)
- Visualized results with word clouds and dashboards
