DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.
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Updated
Apr 3, 2022 - Jupyter Notebook
DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.
FakeChecker is a part of my Engineering thesis project on Warsaw University of Technology. Its aim is to detect fake reviews on Google Maps.
Spam Slayer is a web app used to detect deceptions from Amazon products' reviews. Users can copy a link to the product and paste directly paste it to my page. Using my trained deep learning model, Spam Slayer will distinguish between true/fake reviews and show them an adjusted rating without fake reviews.
Case Study from CSE380
Identifying fake reviews on Sephora using One Class SVM
Creating an algorithm with Tensorflow to detect fake reviews
Identifying fake reviews on Sephora using MLP autoencoder with anomaly detection
C# script that fetches all the plugins (with reviews,authors,join date) a WordPress.org user has contributed to for fake review analysis
Fake review detection in Yelp dataset
A Project about Predicting the Number of Fake Reviews with Grades of an e-commerce website called Amazon using Machine Learning Models like Bert & XLnet.
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