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意识形态话语的联合主题与视角模型

A Joint Topic and Perspective Model for Ideological Discourse
课程网址: http://videolectures.net/ecmlpkdd08_lin_ajtap/  
主讲教师: Eric P. Xing, Wei-Hao Lin, Alexander Hauptmann
开课单位: 卡内基梅隆大学
开课时间: 2008-10-10
课程语种: 英语
中文简介:
关于政治和社会问题的极端讨论在大众和用户生成的媒体中很常见。然而,基于计算机的对意识形态话语的理解被认为太难以进行。在本文中,我们提出了意识形态话语的统计模型。意识形态是指“一群人在社会上共享的一套普遍信仰。”例如,民主党和共和党是美国的两大政治意识形态。所提出的模型捕获了由于意识形态文本主题以及作者或说话者的意识形态观点而导致的词汇变化。为了应对逻辑正态的非共轭性,我们导出了模型的变分推理算法。我们评估所提出的合成数据模型以及书面和口头政治话语。实验结果强烈支持意识形态观点反映在词汇变异中。
课程简介: Polarizing discussions on political and social issues are common in mass and user-generated media. However, computer-based understanding of ideological discourse has been considered too difficult to undertake. In this paper we propose a statistical model for ideology discourse. By ideology we mean ``a set of general beliefs socially shared by a group of people.'' For example, Democratic and Republican are two major political ideologies in the United States. The proposed model captures lexical variations due to an ideological text's topic and due to an author or speaker's ideological perspective. To cope with the non-conjugacy of the logistic-normal prior we derived a variational inference algorithm for the model. We evaluate the proposed model on synthetic data as well as a written and a spoken political discourse. Experimental results strongly support that ideological perspectives are reflected in lexical variations.
关 键 词: 媒体; 意识形态话语; 统计模型
课程来源: 视频讲座网
最后编审: 2020-06-22:chenxin
阅读次数: 73