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 sophisticated deep-learning models that recently produced state-of-the-art benchmarks on related text classification tasks.

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 processing tools such as Word2Vec & TFIDF, GloVe etc. …

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 learning methods, which require labeled data - an inadequacy when it comes to online review.

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 real-time data visualization to tackle the growing issue of spam reviews.

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 methods, which require labeled data - an inadequacy when it comes to online review. Our focus in this article is to detect any deceptive text reviews.

Oct 12, 2024 · This paper introduces an innovative AI-generated spam review detection framework that leverages Deep Learning algorithms and Natural Language Processing (NLP) techniques to identify and mitigate spam reviews effectively.

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 extracts semantic relations between words. On the other hand, the user-behavior approach focuses on the patterns of reviewer activities Li et al. [4].

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 been held...