Modern Information Retrieval
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Short text classification in twitter to improve information filtering
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
On the difficulty of clustering company tweets
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
A Study on Detecting Patterns in Twitter Intra-topic User and Message Clustering
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Categorising social tags to improve folksonomy-based recommendations
Web Semantics: Science, Services and Agents on the World Wide Web
Structured data clouding across multiple webs
Information Systems
Collective semantic role labeling for tweets with clustering
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Clouding services for linked data exploration
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Harnessing Folksonomies to Produce a Social Classification of Resources
IEEE Transactions on Knowledge and Data Engineering
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The huge amount of social data actually available and everyday produced demands for discovery techniques to mine prominent information topics. In this paper, we present topic-clouds as a solution for thematic, conceptual exploration of social data, with specific application to microblogging posts of Twitter. Topic-clouds are the result of a discovery approach based on classification and abstraction techniques to mine the most prominent topics that emerge from a possibly-large set of social data.