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저자 Tae-Yeon Kim, Moohong Min, Taebok Yoon, Jee-Hyong Lee 
학회명 International Symposium on Advanced Intelligent Systems 
학회명 (약자) SCIS and ISIS 2010 
pp. 189-192 
학회시작일 2010-12-08 
학회종료일 2010-12-12 
비고  
A twitter user posts a 140-character-limited text named 'Tweet'. So twitter is called as micro-blog. In May of 2010, users have posted 15 billion tweets since the service launched. But, tweets are not like web text, it is more personal, temporary, and short-contented. Thus twitter’s attributes make it difficult to extract keywords from tweets. In this paper, we introduce topic extraction methods using Probabilistic Latent Semantic Analysis (PLSA), and Latent Dirichlet Allocation (LDA) specified in twitter. We show the novel approach to analyze the contents of Twitter user.

    2023

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    2016

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      2016.09.19
      저자: YunSeok Choi, Suah Kim, Jee-Hyong Lee     학회명: 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems     학회명 (약자): SCIS&ISIS2016     학회시작일: 2016-08-25     학회종료일: 2016-08-28    
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      2019.01.02
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