AnujSinghML/Aspect-Based-Sentiment-Analysis-ABSA-
This repository shows the implementation of a BERT based model which is trained to do aspect based sentiment analysis. The predictor- toolkit uses the best trained model to predict sentiment of user provided inputs.
This tool helps marketing analysts, product managers, and customer feedback specialists understand specific opinions expressed in customer reviews or social media. You provide text (like a restaurant review) and an aspect (like "service" or "food"), and it tells you the sentiment (positive, negative, or neutral) towards that particular aspect. It's designed for anyone needing detailed sentiment insights beyond general positive/negative classifications.
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Use this if you need to pinpoint specific sentiments about different features or categories within a single piece of text, such as determining if a customer liked the 'ambiance' but disliked the 'pricing' in the same review.
Not ideal if you only need a broad positive/negative sentiment for entire documents or if you don't have clearly definable aspects to analyze.
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Apr 17, 2025
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