情感敏感新闻代理:以用户为中心的新闻情感感知方法

Hung-Yu Kao, Seng-Feng Lin
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引用次数: 104

摘要

本文描述了一个基于字符的“情感敏感新闻代理”(ESNA)系统。ESNA是一个新闻聚合器,它可以从用户选择的不同新闻来源中获取新闻,并将新闻主题分为八种情感类型。一项小型用户研究表明,该系统被认为是一个智能和有趣的情感界面。ESNA是最近一项旨在识别通过文本传达的情感信息的研究议程的例证。新闻是一个有趣的应用领域,用户可能对报道的某些事件或实体有不同的态度。人们已经采用了不同的方法从文本中“感知”情感。我们的方法的新颖性是双重的:通过文本传递的情感信息进行分析(1)通过考虑情感的认知和评价结构,(2)通过考虑用户偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotion Sensitive News Agent: An Approach Towards User Centric Emotion Sensing from the News
This paper describes a character-based system called "Emotion Sensitive News Agent" (ESNA). ESNA is been developed as a news aggregator to fetch news from different news sources chosen by a user, and to categorize the themes of the news into eight emotion types. A small user study indicates that the system is conceived as intelligent and interesting as an affective interface. ESNA exemplifies a recent research agenda that aims at recognizing affective information conveyed through texts. News is an interesting application domain where user may have marked attitudes to certain events or entities reported about. Different approaches have already been employed to "sense" emotion from text. The novelty of our approach is twofold: affective information conveyed through text is analyzed (1) by considering the cognitive and appraisal structure of emotions, and (2) by taking into account user preferences.
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