SDAD 2012 - The First International Workshop on Sentiment Discovery from Affective Data (SDAD 2012)

The current expansion of social media leads to masses of affective data related to peoples’ emotions, sentiments and opinions. Knowledge discovery from such data is an emerging area of research in the past few years, with a potential number of applications of paramount importance to business organisations, individual users and governments. Data mining and machine learning techniques are used to discover knowledge from various types of affective data such as ratings, text or browsing data. Although research in this area has grown considerably in the recent years, knowledge discovery from affective data is in its infancy state with more open issues and challenges which often requires interdisciplinary approaches.
This workshop aims to bring together researchers in this area to present their latest work, to discuss the challenges in the field and identify where our efforts, as a research community, should focus.
Topics of interest
Researchers are encouraged to submit papers including, but not restricted to the following topics related to knowledge discovery from affective data:
Retrieval, extraction, categorization, aggregation and summarization of affective data
Techniques for dealing with ambiguity
Classification techniques for knowledge discovery from affective data
Clustering techniques for knowledge discovery from affective data
Domain dependency of affective data
Tracking affective data over time
Data preparation for knowledge discovery from affective data
Evaluation methodologies
Educational data mining on affective data
“Affective” trend detection in social media
Other real-world applications and case studies of knowledge discovery from affective data