AmirhosseinHonardoust/Fake-Review-Detector
An AI-powered Fake Review Detector built with Python, Streamlit, and Scikit-learn. Uses TF-IDF vectorization, Logistic Regression, and behavioral text analytics (sentiment, exclamations, clichés) to identify synthetic or spammy product reviews. Includes training scripts and a full interactive dashboard.
This tool helps e-commerce businesses and product managers identify misleading or dishonest product reviews. You feed it a customer review, and it tells you if it's likely fake or real, along with a confidence score. It uses a combination of text analysis and behavioral cues like sentiment and exaggerated language to make its judgment, helping you maintain trust and data integrity.
Use this if you need to quickly assess the authenticity of product reviews to protect your brand's reputation and ensure customers see genuine feedback.
Not ideal if you require a solution that integrates directly into a complex enterprise review moderation system without custom development.
Stars
25
Forks
3
Language
Python
License
MIT
Category
Last pushed
Oct 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AmirhosseinHonardoust/Fake-Review-Detector"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
safe-graph/GNN-FakeNews
A collection of GNN-based fake news detection models.
anantdgoel/ProjectFib
Chrome extension to flag fake news on Facebook. Built at HackPrinceton '16
sumeetkr/AwesomeFakeNews
This repository contains recent research on fake news.
kapilsinghnegi/Fake-News-Detection
This project detects whether a news is fake or not using machine learning.
DJDarkCyber/Fake-News-Detector
Fake News Detector Web Application