Max Zimmermann
Dr.-Ing. Max Zimmermann
Department of Technical and Business Information Systems
Research interests:
- Aspect Based Opinion Mining & Sentiment Analysis
- Opinion Monitoring
- Predictive Sentiment Analysis
- Large Scale Data Analysis
- Semi-Supervised Stream Classification
- Stream Mining
Projects:
- 2011/06 - 2014/12 [completed]: German Research Foundation project SP 572/11-1 "IMPRINT: Incremental Mining for Perennial Objects"
- 2011/10 - 2014/12 [completed]: Tracking people's perception of products over time with Opinion Stream Mining
- 2012/04 - 2013/04 [completed]: Job/Skill Crawler
- 2011/01 - 2012/12 [completed]: Recommendation Engines for the Web 2.0
- 2009/02 - 2009/09 [completed]: KO-RFID
Datasets
- Stanford Twitter Sentiment Dataset
- Opinosis
- Product Review Dataset: 9 Products; 38 Product Features.
- Product Review Dataset: 327 Product Features, roughly 13.000 Reviews