Summary of the paper
| Title | Opinion Annotation in On-line Chinese Product Reviews |
|---|---|
| Authors | Ruifeng Xu, Yunqing Xia, Kam-Fai Wong and Wenjie Li |
| Abstract | This paper presents the design and construction of a Chinese opinion corpus based on the online product reviews. Based on the observation on the characteristics of opinion expression in Chinese online product reviews, which is quite different from in the formal texts such as news, an annotation framework is proposed to guide the construction of the first Chinese opinion corpus based on online product reviews. The opinionated sentences are manually identified from the review text. Furthermore, for each comment in the opinionated sentence, its 13 describing elements are annotated including the expressions related to the interested product attributes and user opinions as well as the polarity and degree of the opinions. Currently, 12,724 comments are annotated in 10,935 sentences from review text. Through statistical analysis on the opinion corpus, some interesting characteristics of Chinese opinion expression are presented. This corpus is shown helpful to support systematic research on Chinese opinion analysis. |
| Language | Single language |
| Topics | Emotions, Corpus (creation, annotation, etc.), Lexicon, lexical database |
Full paper |
Opinion Annotation in On-line Chinese Product Reviews |
Slides |
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| Bibtex | @InProceedings{XU08.415, author = {Ruifeng Xu, Yunqing Xia, Kam-Fai Wong and Wenjie Li}, title = {Opinion Annotation in On-line Chinese Product Reviews}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |