Πλοήγηση ανά Θέμα "Short-text documents"
Αποτελέσματα 1-2 από 2
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Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections
(2020)Short text clustering is a popular problem that focuses on the unsupervised grouping of similar short text documents, or entitled entities. Since the short texts are currently being utilized in a vast number of applications, ... -
Improving Hierarchical Short Text Clustering through Dominant Feature Learning
(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 ...