Tags: social-site, backend, frontend, tigergraph, NLP, scispacy, elasticsearch, yelp, graphDB, ML,
Project: Build a full-stack application using TigerGraph as a backend database. To get more out of the data I want to run an NLP to do tag extraction. Load those Tags into TG model, also run some ML to determine if there are FAKE posts trying to BOOST or DEGRADE certain businesses.
Reason: The ability to add this project to my portfolio of work.
Enrichment: ElasticSearch, Scispacy (NLP), Tensorflow (Keras), Graph CNN, TG Algo