Social Media Sentiment Analysis
Social media sentiment analysis is the computational detection and extraction of human subjective evaluation of objects embedded on social media. Previous sentiment analysis was conducted on isolated written texts, and typically classified sentiment into positive, negative, and neutral states. Social media sentiment analysis has included multi-modal texts, temporal dynamics, interactions, network relationships, and sentiment propagation. Specific emotions and sentiment intensity are also detected.
Authors
- Joyce Y. M. Nip (ORCID: https://orcid.org/0000-0001-6877-4887)
- Benoit Berthelier (ORCID: https://orcid.org/0000-0003-1348-4086)
Institutions
- The University of Sydney (AU)
Publication Details
- Journal
- Encyclopedia
- Published
- 2024-10-21
- DOI
- https://doi.org/10.3390/encyclopedia4040104
- Citations
- 11
- Primary Topic
- Sentiment Analysis and Opinion Mining
- Type
- article
- Field-Weighted Citation Impact
- 3.82