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.
• Used in: Extracting Opinionated SubFeatures from a Stream of Product Reviews
• Product Review Dataset: 327 Product Features, roughly 13.000 Reviews
• Used in: Discovering and Monitoring Product Features and the Opinions on them with
  OPINSTREAM