Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Research in automatic Subjectivity and Sentiment Analysis, as subtasks in Affective Computing within the Artificial Intelligence field of Natural Language Processing (NLP), has flourished in the past years. The growth in interest in these tasks was motivated by the birth and rapid expansion of the Social Web that made it possible for people all over the world to share, comment or consult content on any given topic. In this context, opinions, sentiments and emotions expressed in Social Media texts have been shown to have a high influence on the social and economic behaviour worldwide. The aim of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2013) was to continue the line of the previous three editions, bringing together researchers in Computational Linguistics working on Subjectivity and Sentiment Analysis and researchers working on interdisciplinary aspects of affect computation from text. Additionally, this year, we extended the focus to Social Media phenomena and the impact of affect-related phenomena in this context. WASSA 2013 was organized in conjunction to the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, on June 14, 2013, in Atlanta, Georgia, United States of America. At this fourth edition of the workshop, we received a total of 29 submissions, from a wide range of countries, of which 8 were accepted as long and another 8 as short papers. Each paper has been thoroughly reviewed by 2 members of the Program Committee. The accepted papers were all highly assessed by the reviewers, the best paper receiving an average punctuation (computed as an average of all criteria used to assess the papers) of 4.75 out of 5. The main topics of the accepted papers are related to affect in Social Media - the creation and evaluation of resources for subjectivity, sentiment and emotion in social media, cross-lingual and multilingual resource creation and use, the detection of sarcasm and spam and the detection of illegal activities in digital social settings. The invited talks reflected the multimodal and interdisciplinary nature of the research in affect-related phenomena, from topics related to multimodal methods for emotion detection, theories of emotion and applications of emotion detection in Social Media. This year’s edition has shown again that the topics addressed by WASSA are of high interest to the research community and that the contributions presented in this forum bring an important development both to the theoretical, as well as to the application-oriented scenarios.

BALAHUR DOBRESCU Alexandra;  VAN DER GOOT Erik; 

2013-10-31

The Association for Computational Linguistics

JRC82011

978-1-937284-47-3,   

http://aclweb.org/anthology/W/W13/W13-1600.pdf,    https://publications.jrc.ec.europa.eu/repository/handle/JRC82011,