RI: Medium: Bringing Sentiment Analysis and Social Network Analysis Together

近年来，在计算情感分析和社会网络分析方面取得了非凡的突破。这项研究帮助揭示了强大的语言理解-在对话中、在文本中、在网络上-取决于准确地识别态度、情感和社会关系。然而，当前的科学和技术图景缺少对情绪影响我们的人际关系和社交网络以及受其影响的方式的深刻理解。这个项目的中心目标是通过开发用于将情绪建模为社交和人际关系的算法、方法和数据集来填补这一空白。该方法平衡了细粒度的社会学和语言学研究，计算建模，以及对博客和其他互动社交媒体的大规模数据挖掘。本研究旨在通过将情感分析领域转向特定社会背景下的情感语言推理模型来重塑情感分析领域。它还为社会网络分析提供了丰富的特征来表征社会联系，从而有助于识别社会网络中新的潜在结构。这部作品涉及各种各样的社会和政治问题，包括媒体两极分化的程度，偏见和框定的影响，以及情感内容在塑造信息流中的作用。它还可以为下一代通信工具的创建提供信息-用于智能跟踪用户不断变化的态度的虚拟会议和在线协作软件，区分关系类型的社交网络平台，以及与法律发现、智能辅导和媒体分析相关的数据挖掘工具。

Recent years have seen extraordinary breakthroughs in computational sentiment analysis and social network analysis. This research has helped to reveal that robust language understanding --- in dialogue, in text, on the Web --- depends on accurately identifying attitudes, emotions, and social relationships. However, missing from the current scientific and technical picture is a deep understanding of the ways in which sentiment affects, and is affected by, our interpersonal relationships and social networks. The central goal of this project is to fill this gap by developing algorithms, methods, and data sets for modeling sentiment as social and interpersonal. The approach balances fine-grained sociological and linguistic study, computational modeling, and large-scale data-mining of weblogs and other interactive social media.This research aims to reshape the field of sentiment analysis by moving it towards inferential models of emotional language as situated in specific social contexts. It also provides social network analysis with rich features for characterizing social ties, thereby facilitating the identification of new latent structure in social networks. The work addresses a wide variety of social and political issues, including the extent of media polarization, the effects of bias and framing, and the role of emotional content in shaping the flow of information. It can also inform the creation of the next generation of communication tools --- software for virtual meetings and online collaboration that intelligently tracks users' evolving attitudes, social networking platforms that distinguish relationship types, and data-mining tools relevant for legal discovery, intelligent tutoring, and media analytics.