Knowledge Commons of Institute of Automation,CAS
New Words Enlightened Sentiment Analysis in Social Media | |
Chiyu Cai1,2; Linjing Li1; Daniel Zeng1,3 | |
2016-09 | |
会议名称 | The 2016 IEEE International Conference on Intelligence and Security Informatics |
会议日期 | September 28-30 |
会议地点 | Tucson, Arizona, USA |
摘要 | Public sentiment permeated through social media is usually regarded as an important measure for hot event detecting, policy making and so forth, hence many governments and intelligence agencies have been launching various initiatives to facilitate theories, technologies and systems toward monitoring its fluctuation. Recently, massive new words are created and widely spread in social media, and they pose a great influence on sentiment analysis. Facing this situation, most previous work still just add those new words into sentiment lexicon, none of the existed researches focuses on the role and influence of new words in emotional expression. In this paper, we pay more attention to the influence of new words and propose two novel new words based sentiment analysis methods, named NWLb and NWSA, the former only with the help of lexicon and the latter further incorporates machine learning, which utilize the distinctive role of new words to improve the effectiveness of sentiment analysis in social media. Experiments on real social media dataset demonstrate the effectiveness and performance of our methods. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/20036 |
专题 | 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
作者单位 | 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.University of Arizona |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Chiyu Cai,Linjing Li,Daniel Zeng. New Words Enlightened Sentiment Analysis in Social Media[C],2016. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
037-new words.pdf(1011KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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