Measuring Emotion in Parliamentary Debates with Automated Textual Analysis
نویسندگان
چکیده
منابع مشابه
Measuring Emotion in Parliamentary Debates with Automated Textual Analysis
An impressive breadth of interdisciplinary research suggests that emotions have an influence on human behavior. Nonetheless, we still know very little about the emotional states of those actors whose daily decisions have a lasting impact on our societies: politicians in parliament. We address this question by making use of methods of natural language processing and a digitized corpus of text da...
متن کاملMeasuring Emotion in Parliamentary Debates Using Methods of Natural Language Processing
An impressive breadth of interdisciplinary research suggests that emotions have an influence on political behaviour. Nonetheless, we still know very little about the emotional states of those actors whose decisions have a great impact on our societies: politicians in parliament. We address this problem by making use of methods of natural language processing and a digitized corpus of text data s...
متن کاملExemelification of Parliamentary Debates
Parliamentary debates are an interesting domain to apply state-of-the-art information retrieval technology. Parliamentary debates are highly structured transcripts of meetings of politicians in parliament. These debates are an important part of the cultural heritage of countries; they are often free of copy-right; citizens often have a legal right to inspect them; and several countries make gre...
متن کاملModelling argumentation in parliamentary debates
In this paper we apply the information state update (ISU) machinery to tracking and understanding the argumentative behaviour of participants in a parliamentary debate in order to predict its outcome. We propose to use the ISU approach to model the arguments of the debaters and the support/attack links between them as part of the formal representations of a participant’s information state. We f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0168843