Linguistic Understanding of Complaints and Praises in User Reviews. Paper talking about going beyond positive and negative sentiment categories. Complaints and Praise have properties that are different from positives and negatives

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.

Topic: Opinion Mining and Summarization of Hotel Reviews

User-centric food web application

Sentiment analysis and classification algorithms in reviews from Metacritic

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

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

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

Automatic key feature identification based on app user reviews

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

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

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

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.

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.

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!

LounasFinder: An interactive web application for discovering and reviewing the best lunch spots. Leveraging Google Maps API and Firebase, it offers a user-friendly platform for finding the perfect meal based on location, cuisine, and user ratings.

Feelback SDKs, integrations libraries and samples

A datatset for French app review classification

A tool for app review mining