Sentiment analysis of Chinese microblog message using neural network-based vector representation for measuring Regional prejudice

Yung Chun Chang, Chin Shun Chou, Yang Zhang, Xi Wang, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

Regional prejudice is prevalent in Chinese cities in which native residents and migrants lack a basic level of trust in the other group. Like Twitter, Sina Weibo is a social media platform where people actively engage in discussions on various social issues. Thus, it provides a good data source for measuring individuals' regional prejudice on a large scale. We find that a resentful tone dominates in Weibo messages related to migrants. In this paper, we propose a novel approach, named DKV, for recognizing polarity and direction of sentiment for Weibo messages using distributed real-valued vector representation of keywords learned from neural networks. Such a representation can project rich context information (or embedding) into the vector space, and subsequently be used to infer similarity measures among words, sentences, and even documents. We provide a comprehensive performance evaluation to demonstrate that by exploiting the keyword embeddings, DKV paired with support vector machines can effectively recognize a Weibo message into the predefined sentiment and its direction. Results demonstrate that our method can achieve the best performances compared to other approaches.
原文英語
主出版物標題Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings
發行者Pacific Asia Conference on Information Systems
ISBN(電子)9789860491029
出版狀態已發佈 - 2016
對外發佈
事件20th Pacific Asia Conference on Information Systems, PACIS 2016 - Chiayi, 臺灣
持續時間: 六月 27 2016七月 1 2016

會議

會議20th Pacific Asia Conference on Information Systems, PACIS 2016
國家/地區臺灣
城市Chiayi
期間6/27/167/1/16

ASJC Scopus subject areas

  • 資訊系統

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