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

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

A tool for app review mining

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.

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

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.

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

A datatset for French app review classification

User-centric food web application

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

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

Template repository for ShareIt project.

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 repo includes all of the files pertaining to preparing, training/fine-tuning, using and evaluating a transformer architecture, Steam game-review classification model, based on the ALBERT-V2 model.

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

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.