Clustering short texts using wikipedia
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Analyzing microblogs with affinity propagation
Proceedings of the First Workshop on Social Media Analytics
Scalable multi stage clustering of tagged micro-messages
Proceedings of the 21st international conference companion on World Wide Web
Comments-oriented document summarization based on multi-aspect co-feedback ranking
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
A tweet summarization method based on a keyword graph
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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We compare various document clustering techniques including K-means, SVD-based method and a graph-based approach and their performance on short text data collected from Twitter. We define a measure for evaluating the cluster error with these techniques. Observations show that graph-based approach using affinity propagation performs best in clustering short text data with minimal cluster error.