图 书 馆
面向机器学习的程序设计语言的语法和编译器Towards Machine Learning of Grammars and Compilers of Programming Languages |
|
| 课程网址: | http://videolectures.net/ecmlpkdd08_nakamura_tmlal/ |
| 主讲教师: | Keita Imada; Katsuhiko Nakamura |
| 开课单位: | 东京电机大学 |
| 开课时间: | 2008-10-10 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 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: | 计算机科学; 机器学习; 数据 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-29：heyf |
| 阅读次数: | 18 |