Topical Sentiment Workshop Programme

The 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion Measurement has published the programme for the day's event. The papers are listed below, and I've linked to the papers where they are available online.

• 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)    Andrés Montoyo (University of Alicante, Spain)    Patricio Martínez-Barco (University of Alicante, Spain)
• 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)    Mário J. Silva (University of Lisbon, Faculty of Sciences, LASIGE, Portugal)    Eugénio 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)    Mário J. Silva (University of Lisbon, Faculty of Sciences, LASIGE, Portugal)    Eugénio Oliveira (Faculdade de Engenharia Universidade do Porto - LIACC, Portugal)
• Beyond the Stars: Exploiting Free-Text User Reviews for Improving the Accuracy of Movie Recommendations    Niklas Jakob (Technische Universität Darmstadt, Germany)    Stefan Hagen Weber (Siemens AG, Germany)    Mark-Christoph Müller (Technische Universität 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)

Comments

[Livia Polanyi]

Looks like a great program. I'll be very interested in seeing all of the papers as they become available.