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- W2921219281 abstract "Weibo topics are characterized by diversity and complexity, and often contain different sub-topics even for the same topic. Therefore, how to classify sub-topics effectively and accurately is of great significance. Due to the strong similarity between sub-topics belonging to the same topic, most existing methods cannot be directly applied to the task of sub-topic discovery. In this paper, a new technique based on sentence embeddings for detecting sub-topics of weibo is proposed. The information of blogs is represented by sentence embeddings containing semantic information and the results are verified by clustering." @default.
- W2921219281 created "2019-03-22" @default.
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- W2921219281 date "2019-02-01" @default.
- W2921219281 modified "2023-09-23" @default.
- W2921219281 title "A Method based on Sentence Embeddings for the Sub-Topics Detection" @default.
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- W2921219281 doi "https://doi.org/10.1088/1742-6596/1168/5/052004" @default.
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