| 引用本文： |
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李建华,刘功申,林祥.情感倾向性分析及应用研究综述[J].信息安全学报,2017,2(2):48-62 [点击复制]
- LI Jianhua,LIU Gongshen,LIN Xiang.Survey on Sentiment Orientation Analysis and Its Applications[J].Journal of Cyber Security,2017,2(2):48-62 [点击复制]
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| 摘要: |
| 在情感倾向性分析领域，关于情感的收集、分析和聚合等技术一直是近年来的关注热点。该领域的相关发展带动了各个子任务及其相关研究的大力发展。本文主要综述了面向情感的信息系统中使用的情感分析相关的需求，技术，应用以及评测方法等。在情报分析方面，存在许多不同于传统的主题分析的新需求，这就是对情感分析技术的强烈需求。接着，介绍了词级、句子级、段落篇章级等不同层次的情感分析技术。然后，还综述了采用情感分析技术的各种典型应用。最后，为了工作开展的便利，讨论了情感分析领域的词库资源、样本集资源、评测方法及重要会议等。 |
| 关键词: 情感倾向性分析 意见挖掘 文本挖掘 语言处理 |
| DOI：10.19363/j.cnki.cn10-1380/tn.2017.04.005 |
| 投稿时间：2016-06-20修订日期：2017-03-07 |
| 基金项目:国家自然科学基金（编号：61472248和61431008） |
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| Survey on Sentiment Orientation Analysis and Its Applications |
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LI Jianhua, LIU Gongshen, LIN Xiang
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| (School of Electronic & Electronics Engineering, Shanghai Jiao Tong University, Shanghai 200240, China) |
| Abstract: |
| The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated from text, has seen a lot of attention in the last few years. The corresponding growth of the field has resulted in the emergence of various subareas, each addressing a different level of analysis or research question. This survey covers requirements analysis, techniques, applications and evaluations that promise to directly enable sentiment-oriented information systems. In intelligence area, there are new challenges raised by sentiment aware applications, as compared to those that are already present in more traditional subject-based analysis. Techniques, such as word-level sentiment analysis, sentence-level sentiment analysis, paragraph-level sentiment analysis, are introduced in this paper. There also are several typical sentiment aware applications being reviewed. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. |
| Key words: sentiment orientation analysis opinion mining text mining linguistic processing |
