Topics of interest

Areas of interest to DSSA 2018 include, but are not limited to:

  • Subjectivity, sentiment, and emotion detection in social media and big data
  • Sentiment-based indexing, search, and retrieval in social media
  • Sentiment topic detection & trend discovery
  • Multimodal emotion and sentiment detection in social media
  • Big data for multimodal affective interaction (e.g., chatbots)
  • Time evolving opinion & sentiment analysis
  • Emotions, sentiment, geographic locations and places
  • Using sentiment and affect for social media predictive analysis (including genre identification, political preference, etc.)
  • Irony and sarcasm detection
  • Emotion models and ontologies of emotions
  • Affect in natural language
  • Hate speech detection
  • Information fusion for affective computing
  • Summarization and visualization of emotions, sentiment and affective data
  • Applications of sentiment analysis and emotion detection in social media to education, entertainment, health, e-government, games
  • Ethical issues in affect and opinion detection in user-generated contents
  • Opinion spam, group spam, fake news detection
  • Credibility/reliability of health-related information
  • Fact-checking
  • Multimedia content credibility
  • Information/misinformation diffusion
  • Trust and reputation in virtual communities
  • Retrieval of credible information
  • Gold standard datasets generation with respect to the credibility of information
  • Crowdsourcing credibility