情感倾向性分析及应用研究综述

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。

Survey on Sentiment Orientation Analysis and Its Applications

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.