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)

Leave a Comment

{ 1 trackback }