Detecting Sarcasm in Multimodal Social Platforms

@article{Schifanella2016DetectingSI,
  title={Detecting Sarcasm in Multimodal Social Platforms},
  author={R. Schifanella and Paloma de Juan and J. Tetreault and L. Cao},
  journal={Proceedings of the 24th ACM international conference on Multimedia},
  year={2016}
}
  • R. Schifanella, Paloma de Juan, +1 author L. Cao
  • Published 2016
  • Computer Science
  • Proceedings of the 24th ACM international conference on Multimedia
  • Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment. The detection of sarcasm in social media platforms has been applied in the past mainly to textual utterances where lexical indicators (such as interjections and intensifiers), linguistic markers, and contextual information (such as user profiles, or past conversations) were used to detect the sarcastic tone. However, modern social media platforms allow to create multimodal… CONTINUE READING
    49 Citations
    Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
    • 12
    • Highly Influenced
    • PDF
    A Multimodal Approach to Sarcasm Detection on Social Media
    • 3
    • Highly Influenced
    Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association
    Neural Sarcasm Detection using Conversation Context
    • 2
    • PDF
    Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection
    Unsupervised Approach for Monitoring Satire on Social Media
    • 1
    Sarcasm Detection using Context Separators in Online Discourse
    • 1
    • PDF
    I didn’t mean what I wrote! Exploring Multimodality for Sarcasm Detection