Abstract
In this paper, we introduce a new approach to automatic emotion detection in blog posts. The purpose of our research is to develop an effective tool for recognition and interpretation of affect conveyed through written language. The main idea behind the proposed rule-based algorithm is to determine the prevailing emotion in each sentence of diary-like entry and to display the dynamics of emotion changes throughout the whole document by using simplified emotional faces.
| Original language | English |
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| Title of host publication | ICWSM 2007 - International Conference on Weblogs and Social Media |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 2007 International Conference on Weblogs and Social Media, ICWSM 2007 - Boulder, CO Duration: 2007 Mar 26 → 2007 Mar 28 |
Other
| Other | 2007 International Conference on Weblogs and Social Media, ICWSM 2007 |
|---|---|
| City | Boulder, CO |
| Period | 07/3/26 → 07/3/28 |
Keywords
- Affect sensing from text
- Affective user interface
- Blogs
- Emotions
- Sentiment analysis
- Social media
ASJC Scopus subject areas
- Computer Networks and Communications