[Corpora-List] Call for Participation - 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement (TSA09)

[Maojin Jiang]

****************************************************
We apologize if you received multiple copies of this Call for Participation.
Please help us forward it to those who might be interested. Thanks!
****************************************************




***** TSA 2009 CALL FOR PARTICIPATION *****

1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement

November 6, 2009
Hong Kong

http://sites.google.com/site/tsa2009workshop



***** Registration *****
Early registration ends by 10:59 EDT (GMT-5) September 3, 2009
http://www.comp.polyu.edu.hk/conference/cikm2009/registration/registration.htm


*****IMPORTANT DATES*****

* Early registration deadline: Sep 3 (10:59 EDT(GMT-5)) 2009
* Regular registration ends Thursday October 16 (23:59 EDT(GMT-5)) 2009
* Workshop: November 6, 2009


***** WORKSHOP PROGRAM (9:00 - 17:30, Nov. 6, 2009)*****

9:00-10:30
keynote speech
*Title: TBD
by Professor Claire Cardie, Cornell University (USA)

10:30-11:00
common coffee break

11:00-12:30
Session 1: Topic and Sentiment

* Patterns in the Stream: Exploring the Interaction of Polarity, Topic, and Discourse in a Large Opinion Corpus
	Julian Brooke (University of Toronto, Canada)
	Matthew Hurst (Microsoft Live Labs, United States)

* Topic-dependent Sentiment Analysis of Financial Blogs
	Neil O'Hare (CDVP, Dublin City University, Ireland)
	Michael Davy (Dublin City University, Ireland)
	Adam Bermingham (Dublin City University, Ireland)
	Paul Ferguson (CLARITY: Centre for Sensor Web Technologies, Ireland)
	Paraic Sheridan (Dublin City University, Ireland)
	Cathal Gurrin (Dublin City University, Ireland)
	Alan Smeaton (Dublin City University, Ireland)

* Scary Films Good, Scary Flights Bad: Topic driven feature selection for classification of sentiment
	Scott Nowson (Appen Pty Ltd, Australia)

* Evaluating Question Answering Systems on Opinion Queries
	Alexandra Balahur (DLSI, University of Alicante, Spain)
	Ester Boldrini (Universidad de Alicante, DLSI, Spain)
	Andres Montoyo (University of Alicante, Spain)
	Patricio Martinez-Barco (University of Alicante, Spain)

12:30-14:00
lunch on your own

14:00-15:30
Session 2: Challenge: corpus, domain, irony

* Automatic Creation of a Reference Corpus for Political Opinion Mining in User-Generated Content
	Luis Sarmento (Universidade do Porto, Portugal)
	Paula Carvalho (University of Lisbon, Faculty of Sciences, LASIGE, Portugal)
	Mario J. Silva (University of Lisbon, Faculty of Sciences, LASIGE, Portugal)
	Eugenio Oliveira (Faculdade de Engenharia Universidade do Porto - LIACC, Portugal)

* Domain-specific Sentiment Analysis using Contextual Feature Generation
	Yoonjung Choi (KAIST, Korea, Republic of)
	Youngho Kim (KAIST, Korea, Republic of)
	Sung-Hyon Myaeng (KAIST, Korea, Republic of)

* Weakly Supervised Techniques for Domain-Independent Sentiment Classification
	Jonathon Read (University of Sussex, United Kingdom)
	John Carroll (University of Sussex, United Kingdom)

* Clues for Detecting Irony in User-Generated Contents: Oh...!! It's " so easy" ;-)
	Paula Carvalho (University of Lisbon, Faculty of Sciences, LASIGE, Portugal)
	Luis Sarmento (Universidade do Porto, Portugal)
	Mario J. Silva (University of Lisbon, Faculty of Sciences, LASIGE, Portugal)
	Eugenio Oliveira (Faculdade de Engenharia Universidade do Porto - LIACC, Portugal)

15:30-16:00
common coffee break

16:00-17:30
Session 3: Application

* Beyond the Stars: Exploiting Free-Text User Reviews for Improving the Accuracy of Movie Recommendations
	Niklas Jakob (Technische Universitat Darmstadt, Germany)
	Stefan Hagen Weber (Siemens AG, Germany)
	Mark-Christoph Muller (Technische Universitat Darmstadt, Germany)
	Iryna Gurevych (Darmstadt University of Technology, Germany)

* Aspect-based Sentence Segmentation for Sentiment Summarization
	Jingbo Zhu (Northeastern University, China)
	Muhua Zhu (Northeastern University, China)
	Huizhen Wang (Northeastern University, China)
	Benjamin Tsou (City University of Hong Kong, Hong Kong)

* Locally Contextualized Smoothing of Language Models for Sentiment Sentence Retrieval
	Takayoshi Okamoto (Kobe University, Japan)
	Tetsuya Honda (Kobe University, Japan)
	Koji Eguchi (Kobe University, Japan)

* Sentiment Analysis of Movie Reviews on Discussion Boards using a Linguistic Approach
	Tun Thura Thet (Nanyang Technological University, Singapore)
	Jin-Cheon Na (Nanyang Technological University, Singapore)
	Christopher S.G. Khoo (Nanyang Technological University, Singapore)

*****SCOPE OF THE WORKSHOP*****

This workshop seeks to bring together researchers in both computer science and social sciences who are interested in developing and using topic-sentiment analysis methods to measure mass opinion, and to foster communications between the research community and industry practitioners as well.

The increasing amount of user-generated content on the Internet and social media and the digitization of large number of government and institutional documents provide new opinion-rich data sources for researchers to examine individual and group perceptions on products, organizations, and social issues at a large scale, and thus contribute to the research and practice in the areas of political science, social policy, communications, and business intelligence.

On the other hand, researchers are tackling the problem of processing large amount of opinion-rich data using various approaches. The increasing number of relevant publications in top data mining, information retrieval and natural language processing conferences (KDD, SIGIR, ACL, WWW, etc.) has witnessed the growing interest in automatic opinion analysis. Both TREC and TAC (Text Analysis Conference) have set up individual tracks for opinion retrieval and analysis tasks.

In recent years topic detection and tracking techniques have been well developed to identify the issues discussed in a large text collection. Sentiment analysis is catching up to detect the polarity of opinions expressed in texts. However, many times real-world applications have to take into consideration of both topics and sentiments for precise opinion measurement. Topic and sentiment alignment is crucial for opinion retrieval, extraction, categorization, and aggregation on various issues. Topics and sentiments could also have sophisticated interactions. For example, the choice of topics and the attention distribution among topics might bear hidden opinions as well.

How do we build synergistic topic and sentiment models for text documents? How do we tackle the domain-dependency problem of sentiment analysis? How do we identify users' needs and integrate them into the design of opinion analysis systems? What are the successful applications of topic-sentiment analysis for mass opinion measurement? What lessons have the pioneers learned? How do we evaluate the automatic mass opinion measuring tools with regard to the reliability and validity? This workshop solicits submissions to address these problems and more.

We hope this workshop can advance research in topic-sentiment analysis, make connections between research community and industry practitioners and encourage development of high performance tools and systems that can work at the web scale for real world applications.


*****PROGRAM COMMITTEE*****

Khurshid Ahmad, Trinity College Dublin (Ireland)
James Allan, University of Massachusetts Amherst (USA)
Shlomo Argamon, Illinois Institute of Technology (USA)
Kenneth Bloom, Illinois Institute of Technology (USA)
Claire Cardie, Cornell University (USA)
Michael Gamon, Microsoft Research (USA)
Natalie Glance, Google (USA)
Xiao Hu, Riverglass (USA)
Matthew Hurst, Microsoft Live Lab (USA)
Panagiotis G. Ipeirotis, New York University (USA)
Stefan Kaufmann, Northwestern University (USA)
Moshe Koppel, Bar-Ilan University (Israel)
Thomas Y. Lee, University of Pennsylvania (USA)
Qiaozhu Mei, University of Michigan (USA)
Ana-Maria Popescu, Yahoo! Labs (USA)
Long Qiu, Institute for Infocomm Research (Singapore)
Stuart W. Shulman, University of Massachusetts Amherst (USA)
Veselin Stoyanov, Cornell University (USA)
John D. Wilkerson, University of Washington (USA)
Waigen Yee, Illinois Institute of Technology (USA)
Bei Yu, Syracuse University (USA)
Chengxiang Zhai, University of Illinois at Urbana-Champaign (USA)
Xiaojin Zhu, University of Wisconsin-Madison (USA)

*****ORGANIZERS AND CONTACTS*****

Bei Yu, byu at syr.edu, Syracuse University, USA
Maojin Jiang, jianmao at iit.edu, Illinois Institute of Technology, USA

http://sites.google.com/site/tsa2009workshop


_______________________________________________
Corpora mailing list
Corpora at uib.no
http://mailman.uib.no/listinfo/corpora