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NEWS
13.10.2015 | Some of the WASSA 2015 Presentations are available online. |
17.09.2015 | The proceedings of WASSA 2015 are available from the ACL Anthology . |
18.08.2015 | The schedule for WASSA 2015 is available here. |
15.08.2015 | Dr. Zornitsa Kozareva has agreed to give the invited talk at WASSA on "Multilingual Affect Polarity and Valence Prediction in Metaphors". |
25.06.2015 | The deadline for WASSA submissions has been extended to July 5th, 2015. |
11.05.2015 | WASSA 2015 is endorsed by SIGSEM - the ACL Special Interest Group on Computational Semantics.
| 06.05.2015 | WASSA 2015 is endorsed by SIGWAC - the Special Interest Group of the Association for Computational Linguistics (ACL) on Web as Corpus. |
05.05.2015 | WASSA 2015 is endorsed by SIGANN - the ACL Special Interest Group for Annotation - and SIGNLL - ACL's Special Interest Group on Natural Language Learning. |
25.04.2015 | First Call for Papers now launched. |
15.01.2015 | The WASSA 2015 website now launched. |
SCOPE OF THE WORKSHOP
Research in automatic Subjectivity and Sentiment Analysis (SSA), as subtasks of Affective Computing and 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. SSA systems are highly relevant to many real-world applications (e.g. marketing, eGovernance, business intelligence, social analysis) and also to many tasks in Natural Language Processing (NLP) - information extraction, question answering, textual entailment, to name just a few.
The importance of this field has been proven by the high number of approaches proposed in research in the past decade, as well as by the interest that it raised from other disciplines (Economics, Sociology, Psychology) and the applications that were created using its technology.
In spite of the growing body of research in the area in the past years, dealing with affective phenomena 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.
CALL FOR PAPERS
The aim of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA 2015) is 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. Additionally, starting with WASSA 2013, we extended the focus to Social Media phenomena and the impact of affect-related phenomena in this context. In this new proposed edition, we would like to encourage the submission of long and short research and demo papers including, but not restricted to the following topics related to subjectivity and sentiment analysis:
Download the pdf version of the CFP.
TOPICS OF INTEREST
We encourage the submission of long and short research and demo papers including, but not restricted to the following topics related to subjectivity, sentiment and social media analysis:
- Lexical semantic resources, corpora and annotations for subjectivity, sentiment and social media analysis; (semi-)automatic corpora generation and annotation
- The use of semantic resources and methods (knowledge bases, semantic representations, inference mechanisms) for subjectivity, sentiment and emotion analysis;
- Opinion retrieval, extraction, categorization, aggregation and summarization
- Trend detection in social media using subjectivity and sentiment analysis techniques
- Data linking through social networks based on affect-related NLP methods
- Impact of affective data from social media
- Mass opinion estimation based on NLP and statistical models
- Online reputation management
- Topic and sentiment studies and applications of topic-sentiment analysis
- Domain, topic and genre dependency of sentiment analysis
- Ambiguity issues and word sense disambiguation of subjective language
- Pragmatic analysis of the opinion mining task
- Use of Semantic Web technologies for subjectivity and sentiment analysis
- Improvement of NLP tasks using subjectivity and/or sentiment analysis
- Intrinsic and extrinsic evaluations subjectivity and sentiment analysis
- Subjectivity, sentiment and emotion detection in social networks
- Classification of stance in dialogues
- Applications of sentiment and social media analysis systems
HACKATHON
In the light of the fact that different sentiment analysis systems have been proposed and showcased in the past years, we feel there is a growing need to make other researchers and users familiar with these systems and have them employ them for building an end application.
The Hackathon word stands for "Hacking Marathon", and its purpose is to introduce some technology or software toolkit to the attendees, and let then "play" and develop ideas around it.
We plan to organize a one day session, in the first half presenting the participating systems and their use and creating teams for "application" development and leaving the second half of the day for working on the systems and presenting the results. We plan to give the participants the possibility to vote on the best application created and reward the winner with a gadget.
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