Clustering small-sized collections of short texts

Inf. Retr. Journal, Volume 21, Issue 4, 2018, Pages 273-306.

Other Links: link.springer.com|dblp.uni-trier.de|academic.microsoft.com

Abstract:

The need to cluster small text corpora composed of a few hundreds of short texts rises in various applications; e.g., clustering top-retrieved documents based on their snippets. This clustering task is challenging due to the vocabulary mismatch between short texts and the insufficient corpus-based statistics (e.g., term co-occurrence stat...More

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