Third Place Winners
What it does
How we built it
- Fetched news articles from newsapicatcher.com.
- Used the PyTigerGraph Python library to interact with the TigerGraph instance.
- Used 3 different NLP models for Semantic Search, Keyword Generation and Sentiment Analysis respectively. Helps with enriching the news articles with additional metadata.
- Later, loaded all data to the TigerGraph instance and processed/explored data in several ways using custom GSQL queries as well as special algorithms like centrality and similarity.
- Finally, results are shown to the end-user in a Streamlit web application.