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| "paper_id": "W16-0400", | |
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| "date_generated": "2023-01-19T03:53:14.006493Z" | |
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| "title": "European Commission Joint Research Centre Institute for the Protection and Security of the Citizen Erik van der Goot European Commission Joint Research Centre Institute for the Protection and Security of the Citizen", | |
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| "text": "Emotions are an important part of our everyday lives. However, until quite recently, human affect was regarded in a dual manner -positively, for its regulatory power and negatively, as a sort of a \"weakness\" of the human spirit, that should ideally be rational, logical, *thinking* in a very matter of fact and consequence-based fashion.", | |
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| "section": "Introduction (TODO)", | |
| "sec_num": null | |
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| { | |
| "text": "Recent discoveries in Neuropsychology and the possibilities opened by the functional Magnetic Resonance Imaging have made it clear that emotions play a very important role for the well-functioning of the human body, both psychologically, as well as physically.", | |
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| "section": "Introduction (TODO)", | |
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| "text": "Apart from the importance emotions have for each human being individually, research in Social Psychology and disciplines such as Marketing, Mass-media Communication or Political Science, has shown time and time again that the emotional discourse, its content -in words with affective connotation and the combination thereof -is of paramount difference between the success and failure of social actions, consumer products or political candidates.", | |
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| "text": "Given that nowadays messages with (sometimes) high emotional connotations are so easily shared using Social Media platforms and that their high volume makes manual sifting mostly impossible, the automatic processing of Subjectivity, Sentiment and Emotions in texts, especially in Social Media contexts is highly relevant.", | |
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| "section": "Introduction (TODO)", | |
| "sec_num": null | |
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| "text": "Bearing these observations in mind, the aim of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2016) was to continue the line of the previous editions, bringing together researchers in Computational Linguistics working on Subjectivity and Sentiment Analysis and researchers working on interdisciplinary aspects of affect computation from text. Starting with 2013, WASSA has extended its scope and focus to Social Media phenomena and the impact of affect-related phenomena in this context. The past two editions have shown important breakthroughs in dealing with the challenges of these types of texts, in monolingual, multilingual and cross-domain contexts.", | |
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| "section": "Introduction (TODO)", | |
| "sec_num": null | |
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| "text": "WASSA 2016 was organized in conjunction to the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies in San Diego, California, on June 16, 2016.", | |
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| "section": "Introduction (TODO)", | |
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| "text": "For this year's edition of WASSA, we received a total of 32 submissions, from universities and research centers all over the world, out of which 8 were accepted as long and another 13 as short papers. Each paper has been thoroughly reviewed by at least 2 members of the Program Committee. The accepted papers were all highly assessed by the reviewers, bringing novelty in the technical and knowledge employed and creativity into the research area.", | |
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| "text": "The main topics of the accepted papers are related to challenges in dealing with language and phenomena in Social Media -Twitter and Facebook mining, but also the use of the particular structure of Social Media texts to improve the sentiment and subjectivity classification. The abundance of applications stemming from Sentiment Analysis shows more and more the importance of work in this field and the high number of scenarios where tools performing Sentiment Analysis are becoming of high importance.", | |
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| "text": "Additionally, articles presenting valuable work concentrating on building lexica for this field demonstrate that there is still a high requirement to develop such resources. Finally, some articles deal with the issue of sentiment visualization and the use of such tools to improve the performance of automatic systems for emotion detection and classification. This year's edition has again shown that the topics put forward to discussion by WASSA are of high interest to the research community and that the papers chosen to be debated in this forum bring an important development to the SSA research area.", | |
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| "back_matter": [ | |
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| "text": "We would like to thank the NAACL HLT 2016 Organizers and Workshop Chairs for the help and support at the different stages of the workshop organization process. We are also especially grateful to the Program Committee members and the external reviewers for the time and effort spent assessing the papers. We would like to extend our thanks to our invited speakers -Dr. Seth Grimes, Dr. Morteza Dehghani and Dr. Richard Socher -for accepting to deliver the keynote talks, opening new horizons for research and applications of Sentiment Analysis.Secondly, we would like to express our gratitude for the official endorsement we received from SIGNLL -ACL's Special Interest Group on Natural Language Learning.We would like to express our gratitude to Yaniv Steiner, who created the WASSA logo and to the entire Europe Media Monitor team at the European Commission Joint Research Centre, for the technical support they provided. ", | |
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| "section": "acknowledgement", | |
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| "raw_text": "A Practical Guide to Sentiment Annotation: Challenges and Solutions Saif Mohammad . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174 Emotions and NLP: Future Directions Carlo Strapparava . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180 09:00-10:30 Session 1: Sentiment Analysis Perspectives in Social Media 09:00-09:40 Sentiment, Subjectivity, and Social Analysis Go ToWork: An Industry View -Invited Talk Seth Grimes 09:40-10:05 Rumor Identification and Belief Investigation on Twitter Sardar Hamidian and Mona Diab 10:05-10:30 Modelling Valence and Arousal in Facebook posts Daniel Preo\u0163iuc-Pietro, H. Andrew Schwartz, Gregory Park, Johannes Eichstaedt, Margaret Kern, Lyle Ungar and Elisabeth Shulman 10:30-11:00 Coffee Break 11:00-12:30 Session 2: Sentiment Detection for Social Media Applications 11:00-11:40 Purity Homophily in Social Networks -Invited Talk Morteza Dehghani 11:40-12:05 Hit Songs' Sentiments Harness Public Mood & Predict Stock Market Rachel Harsley, Bhavesh Gupta, Barbara Di Eugenio and Huayi Li 12:05-12:30 Fashioning Data -A Social Media Perspective on Fast Fashion Brands Rupak Chakraborty, Senjuti Kundu and Prakul Agarwal 12:30-14:00 Lunch Break Thursday, June 16, 2016 (continued) 14:00-15:30 Session 3: New Approaches in Sentiment Analysis 14:00-14:40 Deep Learning for Sentiment Analysis -Invited Talk Richard Socher 14:40-15:05 Sentiment Lexicon Creation using Continuous Latent Space and Neural Networks Pedro Dias Cardoso and Anindya Roy 15:05-15:30 The Effect of Negators, Modals, and Degree Adverbs on Sentiment Composition Svetlana Kiritchenko and Saif Mohammad 15:30-16:00 Coffee Break 16:00-17:40 Session 4: Overview and Applications of Sentiment Analysis 16:00-16:25 How can NLP Tasks Mutually Benefit Sentiment Analysis? A Holistic Approach to Sentiment Analysis Lingjia Deng and Janyce Wiebe 16:25-16:50 An Unsupervised System for Visual Exploration of Twitter Conversations Derrick Higgins, Michael Heilman, Adrianna Jelesnianska and Keith Ingersoll 16:50-17:10 Threat detection in online discussions Aksel Wester, Lilja \u00d8vrelid, Erik Velldal and Hugo Lewi Hammer 17:10-17:30 Classification of comment helpfulness to improve knowledge sharing among medi- cal practitioners.", | |
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| "raw_text": "Pierre Andr\u00e9 M\u00e9nard and Caroline Barri\u00e8re 17:20-17:30 Break Thursday, June 16, 2016 (continued) 18:00-19:30 Session 5: Posters Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors Aditya Joshi, Pushpak Bhattacharyya and Mark Carman", | |
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