This hands-on workshop explores AI-powered social media analytics, focusing on Twitter (X) data collection, analysis, and visualization. Participants will learn to use MongoDB for scalable storage, generative AI for text and image processing, and retrieval-augmented generation (RAG) for enhanced data insights. These techniques are critical for researchers and professionals working in fields such as public sentiment analysis, misinformation detection, disaster response, and urban studies.
By integrating AI and social media analytics, participants will gain practical knowledge in:
- MongoDB for real-time, scalable data storage
- Generative AI for automated text and image analysis
- Retrieval-Augmented Generation (RAG) for enhancing search and information retrieval
- Natural Language Queries and Charting in MongoDB for intuitive data exploration
- Creating Interactive Dashboards to visualize and communicate findings effectively
Workshop ObjectivesBy the end of the workshop, participants will be able to:
- Set up and manage a MongoDB database for social media data
- Collect, store, and query Twitter (X) data efficiently
- Apply AI-powered tools for text and image analysis
- Develop vector databases and retrieval-augmented generation (RAG) systems
- Build interactive dashboards for effective data visualization and interpretation
Workshop Timeline- 8:00 AM - 10:00 AM: Twitter API data collection, MongoDB setup, and querying
- 10:00 AM - 12:00 PM: AI-driven text and image analysis using generative AI models
- 12:00 PM - 1:00 PM: Lunch break
- 1:00 PM - 2:30 PM: RAG system development, dashboard creation, and visualization
- 2:30 PM - 3:00 PM: Discussion, Q&A, and wrap-up
Participation RequirementsParticipants should bring a laptop with internet access. Pre-registration for Twitter API access is recommended; demo datasets will be provided for those
