Social Media Topic Recognition Based on Word Embedding and Probabilistic Topic Model
Word embedding can capture the semantic information of words from the large corpus,and its combination with the probabilistic topic model can solve the problem of lack of semantic information in the standard topic model.So in this paper,Word-Topic Mixture(WTM) model is proposed to improve word repre...
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| 第一著者: | |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Editorial Office of Computer Engineering
2017-12-01
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| シリーズ: | Jisuanji gongcheng |
| 主題: | |
| オンライン･アクセス: | https://www.ecice06.com/fileup/1000-3428/PDF/201712034.pdf |
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