Extracting speaker-specific functional expressions from political speeches using random forests in order to investigate speakers' political styles
Extracting speaker-specific functional expressions from political speeches using random forests in order to investigate speakers' political styles
复制标题
使用随机森林从政治演讲中提取特定于演讲者的功能表达，以调查演讲者的政治风格
DOI：
10.1002/asi.21083
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Takafumi J. Suzuki
中科院分区：
文献类型：
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作者：
Takafumi J. Suzuki
本研究使用随机森林法从政治演讲中提取特定于说话人的功能表达，以考察说话人的政治风格。沿着方法学的发展，文体学已经将其范围扩展到新的应用领域，如作者身份分析和情感分析，以及传统的领域，如作者身份归属和基于体裁的文本分类。其中，计算社会语言学是一个潜在的重要领域，它旨在为使用机器学习和语言动机特征的社会语言学分析提供系统和坚实的基础。在这项研究中，我们将其应用到日本首相的国会演讲，以证明随机森林分类器的有效性。结果表明，我们的方法成功地提取了两位日本首相的特定说话人的表达，并使我们能够系统地调查他们的个人政治风格。该方法可以应用于其他类型的文本的社会语言学分析，这样，本研究将有助于发展文体学领域的计算社会语言学领域。
In this study we extracted speaker-specific functional expressions from political speeches using random forests in order to investigate speakers’ individual political styles. Along with methodological development, stylistics has expanded its scope into new areas of application such as authorship profiling and sentiment analysis in addition to conventional areas such as authorship attribution and genre-based text classification. Among these, computational sociolinguistics, which aims at providing a systematic and solid basis for sociolinguistic analysis using machine learning and linguistically-motivated features, is a potentially important area. In this study we show the effectiveness of the random forests classifier for such tasks by applying it to Japanese prime ministers’ Diet speeches. The results demonstrate that our method successfully extracted the speaker-specific expressions of two Japanese prime ministers, and enabled us to investigate their individual political styles in a systematic manner. The method can be applied to sociolinguistic analysis of various other types of texts, and in this way, this study will contribute to developing the area of computational sociolinguistics in the field of stylistics.
总统职位
DOI：
--
发表时间：
2005
期刊：
American Politics (KUBO, Fumiaki (ed.)) (Kobundou)
影响因子：
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作者：
KUBO;Fumiaki
通讯作者：
Fumiaki