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The International Conference on the Advances in Computational Analysis of Political Text

PolText organizers have recognized that there is a mutual benefit in connecting disparate worlds of compu- tational text analysis and political science in analyzing political science research problems. The main aim of the conference is to facilitate this multidisciplinary cooperation. We invited contributions on computational approaches in analysing political text such as government speeches, political debates, social media, media content, party manifestos and/or legislation, but also contributions focusing on text categorization, topic modeling, information extraction, corpus analysis, sentiment analysis, stance classification and ideal point estimation, argumentation mining, political reputation analysis, techniques for multilingual text analysis and other language technologies.

Text categorization, topic modeling, information extraction, corpus analysis, sentiment analysis, stance classification and ideal point estimation, argumentation mining, political reputation analysis, techniques for multilingual text analysis and other language technologies

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