user-reviews

Bot for reporting Google Play Reviews on Slack with possibility to fast reply and creating Jira issues from low rating reviews.

🚀🚀 Fetch, parse, categorize, summarize user reviews 🚀🚀

Feelback SDKs, integrations libraries and samples

OpinRank Dataset. Dataset containing user reviews for entities namely cars and hotels. Full reviews from Tripadvisor (~259,000 reviews) and Edmunds (~42,230 reviews)

Automatic key feature identification based on app user reviews

A tool for app review mining

Code for WWW'21 paper "TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release"

A datatset for French app review classification

Food Finder: An interface for a multi-user recommendation system.

Perform a comprehensive analysis of over 10,000 Android apps in the Google Play Store. Explore app categories, user reviews, and sentiments. Gain insights to drive growth and retention strategies.

Dataset for Micropinion Generation. Dataset is based on user reviews from CNET. The reviews are on products from various categories like tv, cell phones, gps etc.

Steam Insider: A machine learning system for aspect-based sentiment analysis and text summarization of video game reviews on Steam.

Web-based movie archive and review system powered by ASP.NET MVC. Includes movie summaries, IMDb scores, and user comments.

Explore the top 400 best-selling video games from 1977 to 2020. Analyse sales data, critic and user reviews to determine if games have improved over time. Discover the best-selling games, missing review scores, years praised by critics and players, and examine sales in the most successful years.

A comprehensive MERN stack e-commerce app tutorial covering product management, user authentication, and payment integration

User-centric food web application

Explore destination details, attractions, and authentic user feedback to help travelers make informed decisions based on real visitor experiences.

Exploratory Data Analysis on Google Play Store using apps data and user reviews data

Template repository for ShareIt project.

This project analyzes video game sales and review scores to explore their impact on market performance. It includes statistical analysis, hypothesis testing, and regression modeling to identify trends and relationships between critic/user scores and global sales.