Sentiment Analysis on Weibo Data

被引：0

作者：

Li, Di ^{[1
]}

Niu, Jianwei ^{[1
]}

Qiu, Meikang ^{[2
]}

Liu, Meiqin ^{[3
]}

机构：

[1] Beihang Univ, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China

[2] Pace Univ, Dept Comp Sci, Manhattan Nyc, NY 10038 USA

[3] Zhejiang Univ, Dept Syst Sci & Engn, Hangzhou 310027, Peoples R China

来源：

2014 IEEE COMPUTING, COMMUNICATIONS AND IT APPLICATIONS CONFERENCE (COMCOMAP) | 2014年

关键词：

public opinion monitoring; sentiment analysis; text classification;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the development of the Internet, people share their emotion statuses or attitudes on online social websites, leading to an explosive rise on the scale of data. Mining sentiment information behind these data helps people know about public opinions and social trends. In this paper a sentiment analysis algorithm adapting to Weibo (Microblog) data is proposed. Given that a Weibo post is usually short, LDA model is used to generate text features based on semantic information instead of text structure. To decide the sentiment polar and degree, SVR model is used here. Experiment shows the algorithm performs well on Weibo data.

引用

页码：249 / 254

页数：6

共 25 条

[1] [Anonymous], TREC
[2] [Anonymous], 2005, Proceedings of Recent Advances in Natural Language Processing (RANLP)
[3] [Anonymous], 2003, P 12 INT C WORLD WID, DOI DOI 10.1145/775152.775226
[4] Latent Dirichlet allocation
Blei, DM
Ng, AY
Jordan, MI
[J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) : 993 - 1022
[5] Brody S., 2010, P HUMAN LANGUAGE TEC, P804
[6] SUPPORT-VECTOR NETWORKS
CORTES, C
VAPNIK, V
[J]. MACHINE LEARNING, 1995, 20 (03) : 273 - 297
[7] Sentiment Analysis of Twitter Data
El Rahman, Sahar A.
AlOtaibi, Feddah Alhumaidi
AlShehri, Wejdan Abdullah
[J]. 2019 INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCES (ICCIS), 2019, : 336 - 339
[8] Kernel methods in machine learning
Hofmann, Thomas
Schoelkopf, Bernhard
Smola, Alexander J.
[J]. ANNALS OF STATISTICS, 2008, 36 (03) : 1171 - 1220
[9] HOGENBOOM A, 2011, SYST MAN CYB SMC 201, P2589
[10] Hutto Clayton, 2014, Eighth Int. AAAI Conf. Weblogs Soc. Media, V8

← 1 2 3 →