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Improving Hierarchical Short Text Clustering through Dominant Feature Learning

Akritidis L., Alamaniotis M., Fevgas A., Tsompanopoulou P., Bozanis P. (2022)

This paper focuses on the popular problem of short text clustering. Since the short text documents typically exhibit high degrees of data sparseness and dimensionality, the problem in question is generally considered more ...