- Issue
- Journal of Siberian Federal University. Humanities & Social Sciences. 2010 3 (5)
- Authors
- Reffin, Jeremy; Zagibalov, Taras E.; Belyatskaya, Ekaterina O.
- Contact information
- Reffin, Jeremy : University of Sussex , Sussex House Brighton BN1 9RH United Kingdom; Zagibalov, Taras E. : University of Sussex , Sussex House Brighton BN1 9RH United Kingdom , e-mail: ; Belyatskaya, Ekaterina O. : Siberain Federal University , 79 Svobodny, Krasnoyarsk, 660041 Russia , e-mail:
- Keywords
- sentiment analysis; domain-dependency; opinion mining
- Abstract
Sentiment analysis (or opinion mining) is concerned not with the topic of a document, or its factual content, but rather with the opinion expressed in a document. In this paper we present a number of experiments on a word-based sentiment analysis on two corpora representing two related domains: film reviews and book reviews. We find that even close domains are very difficult to process without utilising in-domain data. We also indicate certain characteristics of features that affect cross-domain performance of sentiment classifiers.
- Pages
- 764-775
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/1809
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).