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01.12.2016 | Research | Ausgabe 1/2016 Open Access

EURASIP Journal on Wireless Communications and Networking 1/2016

Sentiment processing of social media information from both wireless and wired network

Zeitschrift:
EURASIP Journal on Wireless Communications and Networking > Ausgabe 1/2016
Autoren:
Xinzhi Wang, Hui Zhang, Shengcheng Yuan, Jiayue Wang, Yang Zhou
Wichtige Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors’ information

Xinzhi Wang is a PhD student in Tsinghua University. She received the Master degree and bachelor degree from School of Computer Engineering and Science of Shanghai University, Shanghai, China, in 2015 and 2012, respectively. Her main research field includes text analysis, topic detection and tracking, sentimental analysis, and web mining.
Hui Zhang is the vice director of Institute of Public Safety Research in Tsinghua University, Beijing, China. His recent researches most focused on public safety and emergency management, including preparedness and response to emergencies, decision-making support, applications of social media and big data in emergency management, etc. He received the National Science Foundation CAREER Award (USA) in 1999 when he was in SUNY Stony Brook, USA, and Changjiang Scholar (China) in 2008.
Shengcheng Yuan is a Ph.D. student of the Institute of Public Safety Research at Tsinghua University, People’s Republic of China, and a visiting researcher of Center for Information Management, Integration and Connectivity (CIMIC) at Rutgers, the State University of New Jersey, USA. His research interests include agent-based traffic simulation, emergency evacuation, and decision support system on emergency management.
Jiayue Wang is a PhD student in Tsinghua University. Her main research directions are crowd dynamics and abnormal behavior detection technology based on CCTV (closed circuit television). She received the Master’s degree from Tsinghua University, Beijing, China, in 2015.
Yang Zhou is a PhD student in Tsinghua University. His main research directions is integration testing of UAV. He received the Master’s degree from Tsinghua University, Beijing, China, in 2015.

Abstract

Recent years, information spreading under the environment of wireless communication has attracted increasing interest. Microblog platform on mobile terminals, as one product of wireless communication, facilitate information spreading and evolution by conveying message from peer to peer. Furthermore, sentiments from microblog reflect the attitude of peers on goods or events. Analysis of the sentiment can help in decision-making. Research work focuses on analyzing sentiment orientation for specific aspects of product with explicit names. However, it is not suitable for sentiment analysis of events using microblog data since users prefer to express their feelings in individual ways, namely the same object may be expressed in several ways. In this paper, a framework is proposed to calculate sentiment for aspects of events. First, we introduce some effective technologies in processing natural language, such as wordvec, HMM, and TextRank. Then, based on the state-of-art technologies, we build up a flowchart to get sentiment for aspects of events. At last, experiments are designed to prove these technologies on computing sentiment. During the process, name entities with the same meaning are clustered and sentiment carrier is filtered, with which sentiment can be got even users express their feeling for the same object with different words.

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