A system and method are disclosed for mining and rating one or more crowd opinions. The system uses a machine learning approach for crowd opinion mining and scoring. The machine learning algorithm creates and updates concepts of the target query in the server by simultaneously mining the web to update opinion scores. A search interface is provided to find concepts and opinions on the targets. Based on the search, the system retrieves the target-related opinions from the server. The system sends crowd-sourced opinions or answers to users. Crowd knowledge is utilized to find opinions and the scores are displayed in a central place. Biasing of community-based opinions is mitigated.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.