Sentiment detection and visualization of Chinese micro-blog

dc.cclicenceN/Aen
dc.contributor.authorWang, Zhitaoen
dc.contributor.authorYu, Zhiwenen
dc.contributor.authorChen, Limingen
dc.contributor.authorGuo, Binen
dc.date.acceptance2014-09-12en
dc.date.accessioned2017-03-14T16:58:33Z
dc.date.available2017-03-14T16:58:33Z
dc.date.issued2015-03-12
dc.description.abstractMicro-blog has been increasingly used for the public to express their opinions, and for organisations to detect public sentiment about social events. In contrast to the effort and progress made in English-based micro-blog analysis, research on Chinese micro-blog received relatively little attention. In this paper we examine and identify the key problems of this field, focusing particularly on the characteristics of innovative words, emoticon elements and hierarchical structure of Chinese “Weibo”. Based on the analysis we propose and develop associated theoretical and technological methods to address these problems. These include the development of new sentiment word mining method based on three wording standards and point-wise metrics, a rule set model for analyzing sentiment features of different linguistic components, and the corresponding methodology for calculating sentiment on multi-granularity considering emoticon elements. We use original Chinese tweets from a dataset of Sina Weibo to test and evaluate our new word discovery and sentiment detection methods. Initial results show that our new diction can improve sentiment detection, and demonstrate that our multi-level rule set method is more effective by giving 10.2% and 1.5% higher average accuracy than two existing methods for Chinese micro-blog sentiment analysis. In addition, we exploit visualisation techniques to study the relationships between online sentiment and real life, which can help depict the correlation between public emotions and events.en
dc.funderN/Aen
dc.identifier.citationWang, Z. et al. (2015) Sentiment detection and visualization of Chinese micro-blog. Proceeding of the International Conference on Data Science and Advanced Analytics, DSAA'2014, pp.251-257en
dc.identifier.doihttps://doi.org/10.1109/DSAA.2014.7058081
dc.identifier.isbn9781479969821
dc.identifier.urihttp://hdl.handle.net/2086/13595
dc.peerreviewedYesen
dc.projectidN/Aen
dc.publisherIEEEen
dc.researchinstituteCyber Technology Institute (CTI)en
dc.subjectVisualizationen
dc.subjectSentiment Detectionen
dc.subjectChinese Micro-blogen
dc.titleSentiment detection and visualization of Chinese micro-blogen
dc.typeConferenceen

Files

License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.2 KB
Format:
Item-specific license agreed upon to submission
Description: