Abstract
Public health events with major consequences are occurring globally. Increasingly people are expressing their views on these events and government agencies' responses and policies online. Recent years have seen significant interest in investigating methods to recognize favorable and unfavorable sentiments towards specific subjects, including public health opinions, from online natural language text. However, most of these efforts are focused on English. In this paper, we study Chinese opinion mining in the context of public health opinions. We explore two complementary approaches-a Chinese opinionated word-based approach and a machine learning approach. We also conduct related comparative analysis and discuss the important role Chinese NLP techniques play in polarity classification.
| Original language | English (US) |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 449-454 |
| Number of pages | 6 |
| Volume | 5075 LNCS |
| DOIs | |
| State | Published - 2008 |
| Event | IEEE International Conference on Intelligence and Security Informatics, ISI 2008 Workshops: PAISI, PACCF, and SOCO 2008 - Taipei, Taiwan, Province of China Duration: Jun 17 2008 → Jun 17 2008 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5075 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | IEEE International Conference on Intelligence and Security Informatics, ISI 2008 Workshops: PAISI, PACCF, and SOCO 2008 |
|---|---|
| Country | Taiwan, Province of China |
| City | Taipei |
| Period | 6/17/08 → 6/17/08 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Polarity classification of public health opinions in Chinese. / Zhang, Changli; Zeng, Dajun; Xu, Qingyang; Xin, Xueling; Mao, Wenji; Wang, Fei Yue.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5075 LNCS 2008. p. 449-454 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5075 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Polarity classification of public health opinions in Chinese
AU - Zhang, Changli
AU - Zeng, Dajun
AU - Xu, Qingyang
AU - Xin, Xueling
AU - Mao, Wenji
AU - Wang, Fei Yue
PY - 2008
Y1 - 2008
N2 - Public health events with major consequences are occurring globally. Increasingly people are expressing their views on these events and government agencies' responses and policies online. Recent years have seen significant interest in investigating methods to recognize favorable and unfavorable sentiments towards specific subjects, including public health opinions, from online natural language text. However, most of these efforts are focused on English. In this paper, we study Chinese opinion mining in the context of public health opinions. We explore two complementary approaches-a Chinese opinionated word-based approach and a machine learning approach. We also conduct related comparative analysis and discuss the important role Chinese NLP techniques play in polarity classification.
AB - Public health events with major consequences are occurring globally. Increasingly people are expressing their views on these events and government agencies' responses and policies online. Recent years have seen significant interest in investigating methods to recognize favorable and unfavorable sentiments towards specific subjects, including public health opinions, from online natural language text. However, most of these efforts are focused on English. In this paper, we study Chinese opinion mining in the context of public health opinions. We explore two complementary approaches-a Chinese opinionated word-based approach and a machine learning approach. We also conduct related comparative analysis and discuss the important role Chinese NLP techniques play in polarity classification.
UR - http://www.scopus.com/inward/record.url?scp=45849129043&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=45849129043&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-69304-8_47
DO - 10.1007/978-3-540-69304-8_47
M3 - Conference contribution
AN - SCOPUS:45849129043
SN - 3540691367
SN - 9783540691365
VL - 5075 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 449
EP - 454
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -