articleIEEE Intelligent SystemsNov 1, 2016Closed access

Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages

Carnegie Mellon University · University of Washington · +2 more institutions

Indexed incrossref

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

747
total citations
FWCI
45.06
Percentile
100%
References
16
Citations per year

Authors

4

Topics & keywords

Keywords
  • Gesture
  • Computer science
  • Concatenation (mathematics)
  • Sentiment analysis
  • Representation (politics)
  • Artificial intelligence
  • Natural language processing
  • Multimodality
UN Sustainable Development Goals
  • Quality Education
No related works found for this paper.

Funding