把 App Store 评价变成产品研究证据，发现痛点、机会和版本风险 | Turn App Store reviews into product research evidence: pain points, opportunities, and version risks.
AI 驱动的电商评论深度分析工具 — 22维度标签构建 · 生成14章洞察报告 · 内置6套主题看板 · 可写入飞书
Review Analyzer — agent-native VOC for e-commerce. 6 MCP tools, ASIN or CSV input, black-gold dashboard. Backed by Shulex VOC OpenAPI (10 markets).
This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).
亚马逊评论分析 Agent Skill：卖家精灵 Review 表 → 一/二/三级分类树（格子里是买家原话）→ HTML 看板 + 交付 Excel
Quy Nhon AI Hackathon 2022 - Challenge 2: Review Analytics - Top 1 Solution
LADy 💃: A Benchmark Toolkit for Latent Aspect Detection Enriched with Backtranslation Augmentation
Game Review Analysis in Steam for 2019 HYU Social Network Analysis and Text Mining Term Project
Sentique is a full‑stack feedback analytics platform that ingests user reviews from App Store, Google Play, Trustpilot, Reddit and Twitter/X, processes them with a fine‑tuned BERT model into 16 categories and sentiment labels, and provides comprehensive analytics and insights.
Agentic AI system for analyzing app store reviews and tracking emerging trends over a rolling 30-day window.
Amazon Sales Analytics full pipeline for forecasting and insights 🐙. Python, MySQL, Power BI, and Azure Blob handle generation, storage, dashboards, and forecasts.
The Amaon Fine Foods Review dataset consists of reviews of fine foods from Amazon. There are approximate 500,000 reviews up to October 2012. Reviews include product and user information, ratings, and a plain text review. The Aim of this case study was to predict the polarity of the reviews ie. positive/negative. I have applied various Machine Le…
Collection of Octoparse agent skills
An AI-powered system for automated academic peer review. Upload a PDF, and the assistant analyzes novelty, plagiarism, factual accuracy, claim mapping, and citation quality (via GROBID). Includes an optional Deep Search mode to fetch and index new papers for comparison
This project uses Machine Learning, Natural Language Processing (NLP), and Web Scraping in order to get real customer reviews for any product on Amazon and perform sentiment analysis that predicts whether the reviews are positive or negative.
AR-based e-commerce web application that allows users to preview 3D product models in real-world environments using a mobile camera. Built with React.js, Node.js, MongoDB, and <model-viewer> for AR visualization.
Free Amazon review analyzer — sentiment scoring + complaint/praise theme mining with GitHub Actions. Powered by Pangolinfo.
An AI project developed by interns Nehal, Huzzaifa, and Romman, under the mentorship of Firoz Shaikh, Head of AI Team at Nexgeno.
GoShipOrSkip is an AI-powered app idea validation engine that analyzes real user reviews from platforms like Google Play, App Store, and Product Hunt to uncover complaints, missing features, and market opportunities — before you write a single line of production code.
An AI assistant that digs through Google Play and Apple App Store reviews, compares up to five apps side-by-side, and tells you what actually matters. It tells what users genuinely love, what frustrates them, and what they keep asking for—so PMs can move from scattered feedback to clear, actionable product insights.
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