Programme

This is the SMUC 2010 programme:

• 08:00-08:15: Workshop presentation
• 08:15-09:00: Keynote by Bing Liu
• 09:00-10:00: Poster session
• 10:00-10:30: Coffee Break
• 10:30-12:30: Papers (session 1)
• 12:30-14:00: Lunch
• 14:00-15:30: Papers (session 2: Twitter and Wikipedia)
• 15:30-16:00: Coffee Break
• 16:00-17:30: Industry Panel

Accepted papers presenting at session 1 (Webpages and product reviews)

• Exploiting Tag and Word Correlations for Improved Webpage Clustering (Anusua Trivedi, Piyush Rai, Scott DuVall, Hal Daume III)
• A Knowledge-Rich Approach to Feature-Based Opinion Extraction from Product Reviews (Fermín L. Cruz Mata, José A. Troyano Jiménez, Fernando Enríquez de Salamanca Ros, F. Javier Ortega Rodríguez, Carlos García Vallejo)
• A formal study of classification techniques on Entity Discovery and their application to Opinion Mining (Shadi Banitaan, Saeed Salem, Wei Jin, Ibrahim Aljarah)
• Spam detection with a content-based random-walk algorithm (F. Javier Ortega, Craig Macdonald, José A. Troyano, Fermín Cruz)
• Exploiting Web Reviews for Generating Customer Service Surveys (Suke Li, Zhong Chen)

Accepted papers presenting at session 2 (Twitter and Wikipedia)

• Entity-Relationship Queries over Wikipedia (Xiaonan Li, Chengkai Li, Cong Yu)
• Classifying Latent User Attributes in Twitter (Delip Rao, David Yarowsky, Abhishek Srivats, Manaswi Gupta)
• Characterization of the Twitter @replies Network: are user ties social or topical? (Daniel Sousa, Luís Sarmento, Eduarda Mendes Rodrigues)

Accepted posters

• Mining Social Tags to Predict Mashup Patterns (Khaled Goarany, Gregory Kulczycki, M.Brian Blake)
• A Weighted Tag Similarity Measure Based on a Collaborative Weight Model ( Srinivas Gokavarapu, Niket Tandon, Vasudeva Varma)
• How to interpret the helpfulness of online product reviews: bridging the needs between customers and designers (Jian Jin, Ying Liu, Ee-Peng Lim)
• Web-based Statistical Fact Checking of Textual Documents (Amr Magdy, Nayer Wanas)
• On the Difficulty of Clustering Company Tweets (Fernando Perez, David Pinto, John Cardiff, Paolo Rosso)
• Cross-media Impact on Twitter in Japan (Sayaka Akioka, Norikazu Kato, Yoichi Muraoka, Hayato Yamana)
• Extracting Emotion Topics from Blog Sentences – Use of Voting from Multi-Engine Supervised Classifiers ( Dipankar Das, Sivaji Bandyopadhyay)