UPV-SI: word sense induction using self term expansion
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Improving the Clustering of Blogosphere with a Self-term Enriching Technique
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Clustering weblogs on the basis of a topic detection method
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
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In order to exploit the huge volume of information being published in the blogosphere, it is essential to provide techniques such as clustering, which can automatically analyze and classify their contents. However these typically can produce better results when dealing with wide domain full-text documents. In most cases however, blogs can be considered to be “short texts”, i.e., they are not extensive documents and exhibit undesirable characteristics from a clustering perspective such as low frequency terms, short vocabulary size and vocabulary overlapping of some domains. Furthermore, their characteristics vary widely depending on the specific interests of the writer, their linguistic style, and the volume of texts that they produce.