![](/images/graphics-bg.png)
Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms
Joint Authors
Qiu, Lirong
Zhang, Huili
Zhang, Zhen
Pu, Qiumei
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
With the development of microblogs, selling and buying appear in online social platforms such as Sina Weibo and Wechat.
Besides Mandarin, Tibetan language is also used to describe products and customers’ opinions.
In this paper, we are interested in analyzing the emotions of Tibetan microblogs, which are helpful to understand opinions and product reviews for Tibetan customers.
It is challenging since existing studies paid little attention to Tibetan language.
Our key idea is to express Tibetan microblogs as vectors and then classify them.
To express microblogs more fully, we select two kinds of features, which are sequential features and semantic features.
In addition, our experimental results on the Sina Weibo dataset clearly demonstrate the effectiveness of feature selection and the efficiency of our classification method.
American Psychological Association (APA)
Qiu, Lirong& Zhang, Huili& Zhang, Zhen& Pu, Qiumei. 2017. Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms. Complexity،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143060
Modern Language Association (MLA)
Qiu, Lirong…[et al.]. Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms. Complexity No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1143060
American Medical Association (AMA)
Qiu, Lirong& Zhang, Huili& Zhang, Zhen& Pu, Qiumei. Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms. Complexity. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143060
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143060