A Dirichlet process biterm-based mixture model for short text stream clustering
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DOI: 10.1007/s10489-019-01606-1
Abstract: Short text stream clustering has become an important problem for mining textual data in diverse social media platforms (e.g., Twitter). However, most of the existing clustering methods (e.g., LDA and PLSA) are developed based on… read more here.
Keywords: stream clustering; text stream; text; short text ... See more keywords
Dynamic clustering for short text stream based on Dirichlet process
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DOI: 10.1007/s10489-021-02263-z
Abstract: Due to the explosive growth of short text on various social media platforms, short text stream clustering has become an increasingly prominent issue. Unlike traditional text streams, short text stream data present the following characteristics:… read more here.
Keywords: based dirichlet; dynamic clustering; text stream; text ... See more keywords