2019
ACL
ACL 2019
Data Set for Stance and Sentiment Analysis from User Comments on Croatian News
Abstract
AbstractNowadays 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 toautomate annotation of more data.
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Interdisciplinary Bridge
— Interdisciplinary and Machine Learning and Natural Language Processing
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Trend Setter
— Text Classification
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Keyword Pioneer
— user comment
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio
Authors
Topics
Natural Language Processing > Understanding > Sentiment Analysis
Natural Language Processing > Applications > Text Classification
Interdisciplinary > Social > Social Media Analysis
Machine Learning > Learning Types > Supervised Learning
Natural Language Processing > Applications > Sentiment Analysis
Machine Learning > Application Areas > Text Classification