csbanon/bert-product-rating-predictor
The BERT Product Rating Predictor is a natural language processing model based on the Bidirectional Encoder Representations from Transformers (BERT) model developed to predict star ratings for textual product reviews. 2020.
This helps e-commerce managers, product marketers, and customer experience professionals quickly understand customer sentiment from written product reviews. You input a customer's textual review, and it outputs a predicted star rating, allowing for efficient analysis of large volumes of feedback. This tool is ideal for anyone needing to gauge customer satisfaction without manually reading every single review.
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Use this if you need to automatically assign star ratings to a large collection of customer product reviews.
Not ideal if you need to predict ratings for reviews outside of electronic products or require a more nuanced sentiment analysis beyond star ratings.
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Last pushed
Dec 06, 2020
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