Volltext-Downloads (blau) und Frontdoor-Views (grau)
The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 6 of 6876
Back to Result List

The Role of Knowledge-based Features in Polarity Classification at Sentence Level

  • Though polarity classification has been extensively explored at document level, there has been little work investigating feature design at sentence level. Due to the small number of words within a sentence, polarity classification at sentence level differs substantially from document-level classification in that resulting bag-of-words feature vectors tend to be very sparse resulting in a lower classification accuracy. In this paper, we show that performance can be improved by adding features specifically designed for sentence-level polarity classification. We consider both explicit polarity information and various linguistic features. A great proportion of the improvement that can be obtained by using polarity information can also be achieved by using a set of simple domain-independent linguistic features.

Export metadata

Additional Services

Share in Twitter Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Michael WiegandGND, Dietrich Klakow
URN:urn:nbn:de:bsz:mh39-84390
URL:https://www.aaai.org/ocs/index.php/FLAIRS/2009/paper/view/24
ISBN:978-1-57735-419-2
Parent Title (English):Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 19–21 May 2009, Sanibel Island, Florida, USA
Publisher:AAAI Press
Place of publication:Menlo Park, CA
Editor:H. Chad Lane, Hans W. Guesgen
Document Type:Conference Proceeding
Language:English
Year of first Publication:2009
Date of Publication (online):2019/01/23
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
Tag:Sentimentanalyse
GND Keyword:Computerlinguistik; Natürliche Sprache; Polarität; Text Mining
First Page:296
Last Page:301
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):Es gilt das UrhG