Multilingual Sentiment Analysis: A New Approach to Measuring Conflict in Legislative Speeches
Multilingual Sentiment Analysis: A New Approach to Measuring Conflict in Legislative Speeches
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DOI：
10.1111/lsq.12218
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发表时间：
2018-10
影响因子：
1.5
通讯作者：
Sven-Oliver Proksch;Will Lowe;Jens Wäckerle;S. Soroka
中科院分区：
文献类型：
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作者：
Sven-Oliver Proksch;Will Lowe;Jens Wäckerle;S. Soroka
立法政治比较学者一直面临着衡量一个关键理论概念的挑战：立法法案层面的冲突。我们采用基于多语言情绪的方法来应对这一挑战，并表明这种措施可以有效地捕捉不同类型的议会冲突。我们还证明，词典的自动翻译产生有效的结果，因此大大促进了立法机构的比较工作。我们的应用表明，情绪方法可以在各种情况下恢复政府-反对派动态。使用一个简单的，可翻译的情感词典打开了研究跨语言和国家法案辩论中的立法冲突的可能性。
Comparative scholars of legislative politics continue to face the challenge of measuring a key theoretical concept: conflict at the level of legislative bills. We address this challenge with a multilingual sentiment-based approach and show that such a measure can effectively capture different types of parliamentary conflict. We also demonstrate that an automated translation of the dictionary yields valid results and therefore greatly facilitates comparative work on legislatures. Our applications show that a sentiment approach recovers government-opposition dynamics in various settings. The use of a simple, translatable sentiment dictionary opens up the possibility of studying legislative conflict in bill debates across languages and countries.