Data Set for Stance and Sentiment Analysis from User Comments on Croatian News (CROSBI ID 681144)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bošnjak, Mihaela ; Karan, Mladen
engleski
Data Set for Stance and Sentiment Analysis from User Comments on Croatian News
Nowadays it is becoming more important than ever to find new ways of extracting useful information from the evergrowing amount of user-generated data available online. In this paper, we describe the creation of a data set that contains news articles and corresponding comments from Croatian news outlet 24 sata. Our annotation scheme is specifically tailored for the task of detecting stances and sentiment from user comments as well as assessing if commentator claims are verifiable. Through this data, we hope to get a better understanding of the publics viewpoint on various events. In addition, we also explore the potential of applying supervised machine learning models to automate annotation of more data
sentiment, stance, claims, natural language processing
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Podaci o prilogu
50-55.
2019.
objavljeno
10.18653/v1/w19-3707
Podaci o matičnoj publikaciji
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing
Firenza : München: Association for Computational Linguistics (ACL)
Podaci o skupu
7th Workshop on Balto-Slavic Natural Language Processing. Association for Computational Linguistics
predavanje
28.07.2019-02.08.2019
Firenca, Italija