Central Topic Model for Event-oriented Topics Mining in Microblog Stream-Reference-Cited by-同舟云学术

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Central Topic Model for Event-oriented Topics Mining in Microblog Stream

Published:2015-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
language:
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Author:

Peng Min¹,Zhu Jiahui²,Li Xuhui³,Huang Jiajia¹,Wang Hua⁴,Zhang Yanchun⁴

Affiliation:

1. School of Computer, Wuhan University, Wuhan, China

2. State Key Lab of Software Engineering, School of Computer, Wuhan University, Wuhan, China

3. School of Information Management, Wuhan University, Wuhan, China

4. Centre for Applied Informatics, Victoria University, Melbourne, Australia

Funder

Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2806416.2806561

Reference31 articles.

1. On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking

2. Who gives a tweet?

3. Spatio-temporal and events based analysis of topic popularity in twitter

4. Dynamic topic models

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Urdu Documents Clustering with Unsupervised and Semi-Supervised Probabilistic Topic Modeling;Information;2020-11-05

2. Analyzing history-related posts in twitter;International Journal on Digital Libraries;2020-10-28

3. Mining Event-Oriented Topics in Microblog Stream with Unsupervised Multi-View Hierarchical Embedding;ACM Transactions on Knowledge Discovery from Data;2018-04-27

4. Event phase oriented news summarization;World Wide Web;2017-10-17

5. Crawling ranked deep Web data sources;World Wide Web;2016-09-03

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