Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing |
| Herausgeber (Verlag) | Association for Computational Linguistics (ACL) |
| Seiten | 601-611 |
| Seitenumfang | 11 |
| ISBN (elektronisch) | 9781941643327 |
| Publikationsstatus | Veröffentlicht - Aug. 2015 |
| Extern publiziert | Ja |
| Veranstaltung | Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Lisbon, Portugal Dauer: 17 Sept. 2015 → 21 Sept. 2015 |
Abstract
Web reviews have been intensively studied in argumentation-related tasks such as sentiment analysis. However, due to their focus on content-based features, many sentiment analysis approaches are effective only for reviews from those domains they have been specifically modeled for. This paper puts its focus on domain independence and asks whether a general model can be found for how people argue in web reviews. Our hypothesis is that people express their global sentiment on a topic with similar sequences of local sentiment independent of the domain. We model such sentiment flow robustly under uncertainty through abstraction. To test our hypothesis, we predict global sentiment based on sentiment flow. In systematic experiments, we improve over the domain independence of strong baselines. Our findings suggest that sentiment flow qualifies as a general model of web review argumentation.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Informatik (insg.)
- Angewandte Informatik
- Informatik (insg.)
- Information systems
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), 2015. S. 601-611.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Sentiment Flow – A General Model of Web Review Argumentation
AU - Wachsmuth, Henning
AU - Kiesel, Johannes
AU - Stein, Benno
PY - 2015/8
Y1 - 2015/8
N2 - Web reviews have been intensively studied in argumentation-related tasks such as sentiment analysis. However, due to their focus on content-based features, many sentiment analysis approaches are effective only for reviews from those domains they have been specifically modeled for. This paper puts its focus on domain independence and asks whether a general model can be found for how people argue in web reviews. Our hypothesis is that people express their global sentiment on a topic with similar sequences of local sentiment independent of the domain. We model such sentiment flow robustly under uncertainty through abstraction. To test our hypothesis, we predict global sentiment based on sentiment flow. In systematic experiments, we improve over the domain independence of strong baselines. Our findings suggest that sentiment flow qualifies as a general model of web review argumentation.
AB - Web reviews have been intensively studied in argumentation-related tasks such as sentiment analysis. However, due to their focus on content-based features, many sentiment analysis approaches are effective only for reviews from those domains they have been specifically modeled for. This paper puts its focus on domain independence and asks whether a general model can be found for how people argue in web reviews. Our hypothesis is that people express their global sentiment on a topic with similar sequences of local sentiment independent of the domain. We model such sentiment flow robustly under uncertainty through abstraction. To test our hypothesis, we predict global sentiment based on sentiment flow. In systematic experiments, we improve over the domain independence of strong baselines. Our findings suggest that sentiment flow qualifies as a general model of web review argumentation.
UR - http://www.scopus.com/inward/record.url?scp=84959883610&partnerID=8YFLogxK
U2 - 10.18653/v1/d15-1072
DO - 10.18653/v1/d15-1072
M3 - Conference contribution
AN - SCOPUS:84959883610
SP - 601
EP - 611
BT - Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
PB - Association for Computational Linguistics (ACL)
T2 - Conference on Empirical Methods in Natural Language Processing, EMNLP 2015
Y2 - 17 September 2015 through 21 September 2015
ER -