This is a course project created for Advance topics in NLP
https://matthieuvion.github.io/lmd_viz/ 236k comments of Le Monde on Ukraine. A proxy to measure people' engagement. Semantic search & SBERT models testing via Sentence-Transformer / Faiss
Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
Evaluating-STS-benchmark-datset-using-SBERT
Search relevancy algorithm for news articles using Sentence-BERT model and ANNOY library along with deployment on AWS using Docker.
Country Data Source Finder is a search engine web app that helps you finding the best data sources for the country-level statistics that you seek.
This is a NLP project, where we try to score the genre's for a movie (from a list of genres), using the summary of the movie.
In this demo, we illustrate the the possibility of using Semantic Search + Recognising Textual Entailment with Gradio to build an automated fact checking tool
Add a description, image, and links to the sbert-implementation topic page so that developers can more easily learn about it.
To associate your repository with the sbert-implementation topic, visit your repo's landing page and select "manage topics."