Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages
Carnegie Mellon University · University of Washington · +2 more institutions
Abstract
People share their opinions, stories, and reviews through online video sharing websites every day. The automatic analysis of these online opinion videos is bringing new or understudied research challenges to the field of computational linguistics and multimodal analysis. Among these challenges is the fundamental question of exploiting the dynamics between visual gestures and verbal messages to be able to better model sentiment. This article addresses this question in four ways: introducing the first multimodal dataset with opinion-level sentiment intensity annotations; studying the prototypical interaction patterns between facial gestures and spoken words when inferring sentiment intensity; proposing a new…
Citation impact
- FWCI
- 45.06
- Percentile
- 100%
- References
- 16
Authors
4Topics & keywords
- Gesture
- Computer science
- Concatenation (mathematics)
- Sentiment analysis
- Representation (politics)
- Artificial intelligence
- Natural language processing
- Multimodality
- Quality Education