Analysis of Policy Agendas: Lessons Learned from Automatic Topic Classification of Croatian Political Texts. (CROSBI ID 644951)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Karan, Mladen ; Šnajder, Jan ; Širinić, Daniela ; Glavaš, Goran
engleski
Analysis of Policy Agendas: Lessons Learned from Automatic Topic Classification of Croatian Political Texts.
Policy agenda research is concerned with measuring the policymaker activities. Topic classification has proven a valuable tool for policy agenda research. However, manual topic coding is extremely costly and time-consuming. Supervised topic classification offers a cost- effective and reliable alternative, yet it introduces new challenges, the most significant of which are the training set coding, classifier design, and accuracy-efficiency trade-off. In this work, we address these challenges in the context of the recently launched Croatian Policy Agendas project. We describe a new policy agenda dataset, explore the many system design choices, and report on the in- sights gained. Our best-performing model reaches 77% and 68% of F1- score for ma- jor topics and subtopics, respectively.
Policy agendas ; supervised topic classification ; accuracy-efficiency trade-off
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Podaci o prilogu
12-22.
2016.
objavljeno
Podaci o matičnoj publikaciji
Reiter, Niels ; Alex, Beatrice
Berlin: Taberg Media Group AB za Association for Computational Linguistics (ACL)
978-1-945626-09-8
Podaci o skupu
Annual meeting of the Association for Computational Linguistics, 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities.
predavanje
07.08.2016-12.08.2016
Berlin, Njemačka