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 🚀🚀

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

Feelback SDKs, integrations libraries and samples

Automatic key feature identification based on app user reviews

A music and video streaming platform featuring user reviews, ratings, and media categorization by artist, album, genre, and more, with dedicated admin and user roles for content management and interaction.

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

A tool for app review mining

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.

Template repository for ShareIt project.

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

User-centric food web application

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

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

This project is where one of my two favourite worlds collide, my passion for Web Development and my childhood memories of playing Counter-Strike: Global Offensive (CS:GO). I share my journey, programming tips, and epic CS:GO moments. Join me in exploring CS:GO and the magic of web development!

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.