Using Link Analysis to Discover Interesting Messages Spread Across Twitter

Min-Chul Yang, Jung-Tae Lee, Hae-Chang Rim


Anthology ID:
W12-4103
Volume:
Workshop Proceedings of TextGraphs-7: Graph-based Methods for Natural Language Processing
Month:
July
Year:
2012
Address:
Jeju, Republic of Korea
Editors:
Irina Matveeva, Ahmed Hassan, Gael Dias
Venue:
TextGraphs
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
15–19
Language:
URL:
https://aclanthology.org/W12-4103
DOI:
Bibkey:
Cite (ACL):
Min-Chul Yang, Jung-Tae Lee, and Hae-Chang Rim. 2012. Using Link Analysis to Discover Interesting Messages Spread Across Twitter. In Workshop Proceedings of TextGraphs-7: Graph-based Methods for Natural Language Processing, pages 15–19, Jeju, Republic of Korea. Association for Computational Linguistics.
Cite (Informal):
Using Link Analysis to Discover Interesting Messages Spread Across Twitter (Yang et al., TextGraphs 2012)
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PDF:
https://preview.aclanthology.org/naacl24-info/W12-4103.pdf