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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. STACK: Front-End: React Back-End:Nodejs DB: TigerGraph Enrichment: ElasticSearch, Scispacy (NLP), Tensorflow (Keras), Graph CNN, TG Algo Resources: Data: https://www.yelp.com/dataset/download NLP: https://towardsdatascience.com/analyzing-yelp-dataset-with-scattertext-spacy-82ea8bb7a60e

Is anyone interested in doing some Elastic Search with me @Jonathan Herke ? This would allow you to have the dynamic searching capabilities you see when typing in Google. As you start typing it's dynamically bringing back some previously searched results. https://towardsdatascience.com/getting-started-with-elasticsearch-in-python-c3598e718380 Tags: Web Scraping, Elasticsearch, Python

Check out this mini video one of the FA members created! https://youtu.be/t3VKuU4boxo