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Shimei’s Research

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Current research interests:

  • Large-scale social media-based human trait and  behavior modeling: applying text mining and machine learning to a large sample of social media posts to gain deep insight into human behavior. Specially, I am interested in
    • building computational models of personal traits (e.g., personality, needs, values, emotions, interests and impulsivity) and human behavior (e.g., brand preference, purchase decision and drug use)
    • automated social media-based large-scale personal persuasion: adapting the content and linguistic style of a campaign message to enhance its appeal to different individuals (e.g., to motivate healthy and drug-free lifestyle) on social media.
  • Text mining with humans in the loop:  developing new active and interactive text mining techniques to support human-in-the-loop text mining. Specifically, I am interested in
    • constrained topic modeling to allow topic models to incorporate user feedback and domain knowledge.
    • active topic modeling to improve the effectiveness of eliciting human input in semi-supervised  topic modeling.
    • interactive text visualization to seamlessly integrate text mining with information visualization to help users explore large text corpora.
    • the usability of text mining algorithms (e.g., improving the stability and explainability of topic models).
  • Intelligent Interactive systems which include
    • Adaptive Conversation Agents
    • Personalized Conversation Agents
    • Human-computer collaboration and learning
    • Multimedia/multimodal Interactive Systems