SUR-Miner Research Project
Researchers
SURMiner project
SRMiner project aims to help developers to summarize product evaluation from millions of user reviews. The key idea of SRMiner is to identify software features and their associated sentiments from reviews automatically.
SRMiner mines data in four phases, Review Classification, Feature-Opinion Mining, Clustering and Summarization, and produces two interactive diagrams, Feature Heat Map and Feature Trend Map.
SRMiner mines data in four phases, Review Classification, Feature-Opinion Mining, Clustering and Summarization, and produces two interactive diagrams, Feature Heat Map and Feature Trend Map.
Here are demo diagrams for selected projects:
- Swiftkey
- Camera360
- Templerun2
- KakaoTalk
- GooglePlayBooks
- SpotifyMusic
- YahooWeather
- GoogleMap
- GoogleCalendar
- OfficeMobile
- ESPN
- TextPlus
- Duolingo
- Chasemobile
- Medscape
You can download our dataset here
If you want us to generate diagrams for your project, please contact to us by email.