Feb 7, 2010 · We employ a wide range of features, pre-processing techniques and models in order to find promising techniques to successfully detect review spam. This includes …

Jul 27, 2023 · Fake review detection using machine learning and deep learning techniques such as CNNs, SOMs, K-means clustering, various supervised models and natural language …

Nov 3, 2022 · Prominent machine learning techniques have been introduced to solve the problem of spam review detection. The majority of current research has concentrated on supervised …

This repo introduces SpamVis, a Visual Interactive System for Spam Review Detection. SpamVis is an interactive tool that combines several machine learning and deep learning models with …

Prominent machine learning techniques have been introduced to solve the problem of spam review detection. The majority of current research has concentrated on supervised learning …

Oct 12, 2024 · This paper introduces an innovative AI-generated spam review detection framework that leverages Deep Learning algorithms and Natural Language Processing (NLP) …

Oct 1, 2019 · In this research, we introduce active learning approach to detect review spam using the TF-IDF features of the review content.

Spam detection can be categorized into two techniques: content-based approach and user-behavior-based approach. Content-based approach analyzes the text content only and …

DeepSpamReview: Detection of Fake Reviews on Online Review Platforms using Deep Learning Architectures. Summer Internship project at CoreView Systems.

Use TensorFlow.js to load a pre-trained machine learning model capable of predicting if a sentence entered is likely to be spam or not, and if so, warn the user that their comment has …