Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms
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, whic...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/5342601 |
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| _version_ | 1832554778697138176 |
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| author | Lirong Qiu Huili Zhang Zhen Zhang Qiumei Pu |
| author_facet | Lirong Qiu Huili Zhang Zhen Zhang Qiumei Pu |
| author_sort | Lirong Qiu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4b5fdaeda05246b098f02e9cd24bb77a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-4b5fdaeda05246b098f02e9cd24bb77a2025-02-03T05:50:32ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/53426015342601Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social PlatformsLirong Qiu0Huili Zhang1Zhen Zhang2Qiumei Pu3School of Information Engineering, Minzu University of China, Beijing, ChinaSchool of Information Engineering, Minzu University of China, Beijing, ChinaSchool of Information Engineering, Minzu University of China, Beijing, ChinaSchool of Information Engineering, Minzu University of China, Beijing, ChinaWith 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.http://dx.doi.org/10.1155/2017/5342601 |
| spellingShingle | Lirong Qiu Huili Zhang Zhen Zhang Qiumei Pu Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms Complexity |
| title | Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms |
| title_full | Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms |
| title_fullStr | Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms |
| title_full_unstemmed | Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms |
| title_short | Tibetan Microblog Emotional Analysis Based on Sequential Model in Online Social Platforms |
| title_sort | tibetan microblog emotional analysis based on sequential model in online social platforms |
| url | http://dx.doi.org/10.1155/2017/5342601 |
| work_keys_str_mv | AT lirongqiu tibetanmicroblogemotionalanalysisbasedonsequentialmodelinonlinesocialplatforms AT huilizhang tibetanmicroblogemotionalanalysisbasedonsequentialmodelinonlinesocialplatforms AT zhenzhang tibetanmicroblogemotionalanalysisbasedonsequentialmodelinonlinesocialplatforms AT qiumeipu tibetanmicroblogemotionalanalysisbasedonsequentialmodelinonlinesocialplatforms |