yashpandey474/Identification-of-fake-reviews
Fake review detection using machine learning and deep learning techniques such as CNNs, SOMs, K-means clustering, various supervised models and natural language processing tools such as Word2Vec & TFIDF, GloVe etc.
This project helps businesses and individuals identify fake product reviews to ensure trustworthy feedback. It takes review text and associated product information as input, then outputs a clear indication of whether a review is likely fraudulent or genuine. This is useful for e-commerce managers, product owners, or anyone relying on customer reviews for purchasing decisions.
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Use this if you need to automatically screen large volumes of online product reviews to filter out dishonest or manipulated feedback.
Not ideal if you're looking for a tool to manually analyze a small number of reviews or to understand the nuances of genuine customer sentiment.
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Last pushed
Mar 02, 2024
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