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2011 Proceeding
The International Workshop on Search and Mining User-generated Contents (SMUC) have evolved as one of the main multidisciplinary forums for researchers and practitioners who work on knowledge extraction, management and exploitation in Social Media, and belong to different, but complementary fields such as Web (content/structure/usage) mining, information retrieval, opinion mining and sentiment analysis, user modeling, personalization and recommendation, and multimedia processing and retrieval.
Following the previous editions of SMUC workshop (at CAEPIA-TTIA 2009 and CIKM 2010), the 3rd edition of the workshop (SMUC 2011) was held in conjunction with the 20th ACM Conference on Information and Knowledge Management (CIKM 2011), in Glasgow (UK) on the 28th of October 2011.
SMUC 2011 received a total of 17 submissions from which the program committee selected 11 for oral presentation, which represents an acceptance rate of 64.7%. In addition, it featured 3 keynote talks. They were given by David E. Losada, from Universidad de Santiago de Compostela (Spain), on "The challenge of understanding the flow of sentiments in social media documents", Joemon M. Jose, from University of Glasgow (UK), on "Information retrieval techniques for social media", and Martin Atzmüller, from University of Kassel (Germany), on "Analysis of communities in social media."
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The challenge of understanding the flow of sentiments in social media documents
This talk is focused on a key task in the area of Opinion Mining and Sentiment Analysis: polarity classification of social media documents (e.g. blog posts). Estimating polarity is much more demanding than estimating topicality. As a matter of fact, the ...
Trend-based and reputation-versed personalized news network
Web users while collaborating over social networks and micro-blogging services also contribute to news coverage worldwide. News feeds come from mainstream media as well as from social networks. Often feeds from social networks are more up-to-date and, ...
A comparative evaluation of personality estimation algorithms for the twin recommender system
The appearance of the so-called recommender systems has led to the possibility of reducing the information overload experienced by individuals searching among online resources. One of the areas of application of recommender systems is the online tourism ...
Improved answer ranking in social question-answering portals
Community QA portals provide an important resource for non-factoid question-answering. The inherent noisiness of user-generated data makes the identification of high-quality content challenging but all the more important. We present an approach to ...
Detection of near-duplicate user generated contents: the SMS spam collection
Today, the number of spam text messages has grown in number, mainly because companies are looking for free advertising. For the users is very important to filter these kinds of spam messages that can be viewed as near-duplicate texts because mostly ...
Analysis of communities in social media
Social media have already woven themselves into the very fabric of everyday life. There are a variety of applications and associated computational social systems. Furthermore, we observe the emergence into more mobile and ubiquitous applications. ...
Predicting age and gender in online social networks
A common characteristic of communication on online social networks is that it happens via short messages, often using non-standard language variations. These characteristics make this type of text a challenging text genre for natural language ...
Characterizing Wikipedia pages using edit network motif profiles
Good Wikipedia articles are authoritative sources due to the collaboration of a number of knowledgeable contributors. This is the many eyes idea. The edit network associated with a Wikipedia article can tell us something about its quality or ...
Mining tag similarity in folksonomies
Folksonomies are becoming increasingly popular, both among users who find them simple and intuitive to use, and scientists as interesting research objects. Folksonomies can be viewed as large informal sources of semantics. Harnessing the semantics for ...
"I'm eating a sandwich in Glasgow": modeling locations with tweets
Social media such as Twitter generate large quantities of data about what a person is thinking and doing in a particular location. We leverage this data to build models of locations to improve our understanding of a user's geographic context. ...
Mining tweets for tag recommendation on social media
Automatic tag recommendation or annotation can help in improving the efficiency of text-based information retrieval on online social media services like Blogger, Last.FM, Flickr and YouTube. In this work, we investigate alternate solutions for tag ...
ThemeCrowds: multiresolution summaries of twitter usage
Users of social media sites, such as Twitter, rapidly generate large volumes of text content on a daily basis. Visual summaries are needed to understand what groups of people are saying collectively in this unstructured text data. Users will typically ...
On the generation of rich content metadata from social media
This contribution proposes a framework to generate auxiliary rich TV content metadata by processing social networks data. Based on simple criteria to identify authoritative social media sources, we have analysed Twitter short messages relative to TV ...
- Proceedings of the 3rd international workshop on Search and mining user-generated contents
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| SMUC '10 | 25 | 15 | 60% |
| Overall | 25 | 15 | 60% |