This project is implemented within the context of the course "Web Mining" of MSc Web and Data Science, Aristotle University of Thessaloniki.
Our team consists of Paschalis Frangidis, Papadopoulos Stefanos and Tatiana Passali.
In our work, we focus on the topic of Climate Change and for this purpose, we collected a large corpus of tweets and Instagram posts and we provide an extensive analysis in many different levels including:
- Sentiment and Emotion Analysis
- User Profiling
- User Interests Extraction
- Like Prediction
- Visualization of the derived results
- Web Application using Flask and Javascript for the visual exploration of the results