SayamAlt / Fake-Reviews-DetectionLinks
Successfully developed a machine learning model which can predict whether an online review is fraudulent or not. The main idea used to detect the fake nature of reviews is that the review should be computer generated through unfair means. If the review is created manually, then it is considered legal and original.
☆86Updated 3 years ago
Alternatives and similar repositories for Fake-Reviews-Detection
Users that are interested in Fake-Reviews-Detection are comparing it to the libraries listed below
Sorting:
- The project provides a Tailor-made travel itinerary for users using their travel details like destination, budget, start and end dates of…☆129Updated 5 years ago
- A content based movie recommender system using cosine similarity☆176Updated 11 months ago
- This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.☆42Updated 10 months ago
- Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build s…☆151Updated last year
- A streamlit app to analyze your whatsapp chats☆91Updated last year
- Product Browse Node Classification☆37Updated 3 years ago
- The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables th…☆29Updated 2 years ago
- Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using s…☆89Updated last year
- Crop Recommendation System Using Machine Learning☆70Updated 10 months ago
- ☆93Updated last year
- A wide curration of open-source projects and applications in the emerging field of generative AI.☆128Updated last year
- ☆13Updated last year
- This repo consists of multiple machine learning based projects with frontend☆267Updated 3 years ago
- Predicting students performance in exams using machine learning classifiers : Logistic regression, KNN and SVM. Extraction of factors imp…☆60Updated last year
- Machine learning model for Credit Card fraud detection☆99Updated 4 years ago
- A web application that predicts if a patient has cancer, diabetes, heart disease, kidney disease, and liver disease based on machine lear…☆33Updated 2 years ago
- Enjoy major NLP Projects. I used NLP libraries,ML for NLP,DL for NLP....etc. In this repository, i will be making some cool projects in N…☆54Updated 7 months ago
- Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances☆77Updated 4 years ago
- The Multiple Disease Prediction project aims to create a user-friendly web application that allows users to input relevant medical inform…☆20Updated last year
- This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file☆111Updated last year
- A recommendation engine is a class of machine learning which offers relevant suggestions to the customer. A recommendation system is one …☆12Updated 2 years ago
- Prediction of Mental Health using various Machine Learning Algorithms and made a Web page which will predict the probability of Mental il…☆49Updated 4 years ago
- A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.☆40Updated last year
- The Movie Database for all language movies☆229Updated 2 years ago
- 🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support…☆602Updated 2 months ago
- Fake News Detection using Machine Learning Algorithms☆31Updated 4 years ago
- The "Medicine Recommendation System" is designed to provide suggestions for alternative or substitute medications based on a search query…☆36Updated last year
- A Machine Learning and Deep Learning based webapp used to predict multiple diseases.☆141Updated 2 years ago
- A NLP project to find weather given 2 questions are same are not semantically speaking.☆56Updated 3 years ago
- Step by step road map to learn and understand Natural Language Processing☆63Updated 5 years ago