Abstract
In this paper, we address the task of affect recognition from text messaging. In order to sense and interpret emotional information expressed through written language, rule-based affect analysis system employing natural language processing techniques was created. Since the purpose of our work is to improve social interactivity and affective expressiveness of computer-mediated communication, we decided to tailor the system to handle style and specifics of online conversations. Proposed algorithm for affect analysis covers symbolic cue processing, detection and transformation of abbreviations, sentence parsing, and word/phrase/sentence-level analyses. To realize visual reflection of textual affective information, we have designed an avatar displaying emotions, social behaviour, and natural idle movements.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 141-150 |
| Number of pages | 10 |
| Volume | 4564 LNCS |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 2nd International Conference on Online Communities and Social Computing, OCSC 2007 - Beijing Duration: 2007 Jul 22 → 2007 Jul 27 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4564 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 2nd International Conference on Online Communities and Social Computing, OCSC 2007 |
|---|---|
| City | Beijing |
| Period | 07/7/22 → 07/7/27 |
Fingerprint
Keywords
- Affective computing
- Affective user interface
- Avatar
- Emotions
- Language parsing and understanding
- Online communication
- Text analysis
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Recognition of affect conveyed by text messaging in online communication. / Neviarouskaya, Alena; Prendinger, Helmut; Ishizuka, Mitsuru.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4564 LNCS 2007. p. 141-150 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4564 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Recognition of affect conveyed by text messaging in online communication
AU - Neviarouskaya, Alena
AU - Prendinger, Helmut
AU - Ishizuka, Mitsuru
PY - 2007
Y1 - 2007
N2 - In this paper, we address the task of affect recognition from text messaging. In order to sense and interpret emotional information expressed through written language, rule-based affect analysis system employing natural language processing techniques was created. Since the purpose of our work is to improve social interactivity and affective expressiveness of computer-mediated communication, we decided to tailor the system to handle style and specifics of online conversations. Proposed algorithm for affect analysis covers symbolic cue processing, detection and transformation of abbreviations, sentence parsing, and word/phrase/sentence-level analyses. To realize visual reflection of textual affective information, we have designed an avatar displaying emotions, social behaviour, and natural idle movements.
AB - In this paper, we address the task of affect recognition from text messaging. In order to sense and interpret emotional information expressed through written language, rule-based affect analysis system employing natural language processing techniques was created. Since the purpose of our work is to improve social interactivity and affective expressiveness of computer-mediated communication, we decided to tailor the system to handle style and specifics of online conversations. Proposed algorithm for affect analysis covers symbolic cue processing, detection and transformation of abbreviations, sentence parsing, and word/phrase/sentence-level analyses. To realize visual reflection of textual affective information, we have designed an avatar displaying emotions, social behaviour, and natural idle movements.
KW - Affective computing
KW - Affective user interface
KW - Avatar
KW - Emotions
KW - Language parsing and understanding
KW - Online communication
KW - Text analysis
UR - http://www.scopus.com/inward/record.url?scp=38149123226&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=38149123226&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9783540732563
VL - 4564 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 141
EP - 150
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -