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 — 14章洞察报告 · 6套主题看板 · 飞书同步 · Sorftime 数据对接 · 零 API Key
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).
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).
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
Agentic AI system for analyzing app store reviews and tracking emerging trends over a rolling 30-day window.
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.
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…
📊 A comprehensive Python toolkit that leverages local Large Language Models (LLMs) via Ollama to analyze Steam game reviews.
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.
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
An AI project developed by interns Nehal, Huzzaifa, and Romman, under the mentorship of Firoz Shaikh, Head of AI Team at Nexgeno.
Amazon Sales Analytics full pipeline for forecasting and insights 🐙. Python, MySQL, Power BI, and Azure Blob handle generation, storage, dashboards, and forecasts.
AI-powered tool that extracts pros, cons, summary, and sentiment from product reviews using the DeepSeek-Prover-V2-671B model via a Streamlit interface.
Software that fits how you actually work. Makers of https://www.reviato.com
This has been done as a part of Data Science Career Track Course at Springboard.
End-to-end e-commerce analytics on Olist data (~1.56M rows): SQL + Python + NLP + dashboards to analyze sales, customer behavior, and delivery performance.
Transform Product Reviews into Strategic Market Insights
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