Public Opinion Toward CSSTA: A Text Mining Approach

Yi-An Wu, Shu-Kai Hsieh


Anthology ID:
O14-1010
Volume:
Proceedings of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING 2014)
Month:
October
Year:
2014
Address:
Jhongli, Taiwan
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
94–95
Language:
URL:
https://aclanthology.org/O14-1010
DOI:
Bibkey:
Cite (ACL):
Yi-An Wu and Shu-Kai Hsieh. 2014. Public Opinion Toward CSSTA: A Text Mining Approach. In Proceedings of the 26th Conference on Computational Linguistics and Speech Processing (ROCLING 2014), pages 94–95, Jhongli, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Public Opinion Toward CSSTA: A Text Mining Approach (Wu & Hsieh, ROCLING 2014)
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PDF:
https://aclanthology.org/O14-1010.pdf