ESOTERIC - Elasticsearch Semantic Optimised Text Extraction Retrieval from Information Corpus

ESOTERIC is a tool that uses natural language processing to automatically retrieve and verify evidence for a given input claim. It is designed to assist fact-checkers and journalists in verifying claims made in news articles and other sources. ESOTERIC uses the FEVER dataset (Fact Extraction and VERification) as its source of information. It uses a multitude of different language models to perform various NLP tasks and even fine-tunes models to improve performance. It is wrapped in a Flask website that allows users to input a claim and view the evidence retrieved by the tool.

ESOTERIC was my final year individual project for my degree in BSc Computer Science at Cardiff University and was awarded a grade of 84%.

Machine Learning / NLP / Hugging Face / Elasticsearch / Python / HTML / CSS / JavaScript

Source

Website

Report

Tool Sharing Website

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Python / HTML / CSS / JavaScript / SQLite

Github

Demo

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Python / HTML / CSS / JavaScript

Github

Live Site

Personal Website

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HTML / CSS / JavaScript

Github

Live Site

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Python / HTML / CSS / JavaScript / SQLite

Github

Live Site