Bursty topic detection method for microblog based on time series analysis
Detecting bursty topics from microblogs was an important task to understand the current events attracting a large number of internet users.However,the existing hods suitable for news articles cannot be adopted directly for microblogs.Because microblogs have unique characteristics compared wi formal...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Editorial Department of Journal on Communications
2016-03-01
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| Серии: | Tongxin xuebao |
| Предметы: | |
| Online-ссылка: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2016052 |
| Метки: |
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