ACL-HLT 2011 WASSA 2011 DLSi
2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA)
To be held in conjuntion with the ACL-HLT 2011 Joint Conference
· Venue
11.07.2011The WASSA 2.011 proceedings are available from the ACL Anthology, at:
11.07.2011The deadline of the final submission for the WASSA 2.011 Special Issue of the Decision Support Systems journal has been extended to July 25, 2011.
13.06.2011Instructions for presentations.
19.05.2011Workshop preliminary program.
02.05.2011Please note that the camera-ready versions of the accepted papers are due on May 8th, 2011. For more information, please visit the Camera-ready section.
19.04.2011Please note that the notification of acceptance to the authors will be sent on April 29, 2011
12.04.2011This year we received an impressive number of submissions. We would like to thank all authors for sending their contributions to WASSA 2.011!
31.03.2011Due to several requests, the paper submission deadline has been extended to April 8, 2011
10.03.2011Extended Paper due date: April 1, 2011
10.03.2011Extended versions of the best papers will be published in a special issue of the Decision Support Systems Journal.
10.03.2011WASSA 2.011 will organize an industry panel. Present confirmed participation from Appinions (Prof. Claire Cardie) and Beyond the Arc Consulting.
27.01.2011WASSA 2.011 is endorsed by SIGANN.
27.01.2011WASSA 2.011 is endorsed by SIGANN.
27.01.2011Prof. Jonathan Gratch from the University of Southern California agreed to give the keynote talk in WASSA 2.011.
25.01.2011WASSA 2.011 is endorsed by SIGNLL.
20.12.2010Submission system is now open.
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 in text and subsequently extract, classify and summarize the opinions available on different topics. Although these research fields have been highly dynamic in the past years, dealing with subjectivity 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 this workshop and the final outcome, the purpose of WASSA 2.011 is to create a framework for presenting and discussing the challenges related to subjectivity and sentiment analysis in NLP, from a theoretical and practical point of view. Moreover, taking into account that subjectivity-related phenomena have also been studied by other disciplines, such as Psychology, Philosophy, Economics, with WASSA 2.011 we would also like to open the door to an interdisciplinary dialogue on the nature, implications and applications of the topic(s) discussed. We envisage WASSA as a forum to discuss the achievements obtained so far and to analyse the different approaches to tackle the difficulties researchers are confronted with in this research area.

Download the pdf version of the CFP.


We encourage researchers to submit evaluation or position papers on topics including, but not restricted to:

  • Affect, emotion, feeling, subjectivity, sentiment - concept definition and related NLP tasks;
  • Resources for subjectivity and sentiment analysis;
  • Subjectivity and opinion retrieval, extraction, categorization, aggregation and summarization;
  • Topic and sentiment studies and applications of topic-sentiment analysis;
  • Mass opinion estimation based on NLP and statistical models;
  • Domain, topic and genre dependency of sentiment analysis;
  • Ambiguity issues and word sense disambiguation of subjective language;
  • Proposals involving the computational treatment of large amounts of data;
  • 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;
  • Adaptation of traditional tasks to the opinion scenario: opinion IR, QA, summarization;
  • Intrinsic and extrinsic evaluation methodologies;
  • Real-world applications of opinion mining systems.

We also encourage participants to provide demos of their systems, thus giving them the opportunity to obtain feedback on their achievements and issues. At the same time, with the help of demos, we aim at enriching the discussion forum with application-specific topics for debate.

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