How to evaluate opinionated keyphrase extraction?
WASSA '12 Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis
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Recent years have marked the beginning and expansion of the Social Web, in which people freely express and respond to opinion on a whole variety of topics. While the growing volume of subjective information available allows for better and more informed decisions of the users, the quantity of data to be analyzed imposed the development of specialized Natural Language Processing (NLP) systems that automatically detect subjectivity and sentiment in text and subsequently extract, classify and summarize the opinions available on different topics. Although the subjectivity and sentiment analysis research fields have been highly dynamic in the past years, dealing with subjectivity and sentiment in text has proven to be a complex, interdisciplinary problem that remains far from being solved. Its challenges include the need to address the issue from different perspectives and at different levels, depending on the characteristics of the textual genre, the language(s) treated and the final application for which the analysis is done. Inspired by the objectives we aimed at in the first edition of the Workshop on Computational Approaches to Subjectivity Analysis (WASSA 2010) and the final outcome, the purpose of the second edition of the Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2.011) was to create a framework for presenting and discussing the challenges related to subjectivity and sentiment analysis in NLP, from an interdisciplinary theoretical and practical perspective. WASSA 2.011 was organized in conjunction to the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, on June 24, 2011, in Portland, Oregon, U.S.A. We received a total of 51 submissions, from a wide range of countries, of which 9 were accepted as full papers (17%) and another 15 as short papers (29%). Each paper has been reviewed by 2 members of the Program Committee. The accepted papers were all highly assessed by the reviewing committee, the best paper receiving an average punctuation of 4.5 out of 5. The main topics of the accepted papers are the creation, annotation and evaluation of resources for subjectivity and sentiment analysis in a monolingual, cross-lingual and multilingual setting, subjectivity and sentiment analysis in different text types and at different levels of granularity. Additionally, WASSA 2.011 authors have contemplated interdisciplinary analyses, concerning the gender-specificity analysis in subjective texts, the relation between sentiment and subjectivity analysis with social network mining, opinion question answering and emotion detection.