Public Opinion Toward CSSTA: A Text Mining Approach

Yi-An Wu, Shu-Kai Hsieh


Anthology ID:
O14-5002
Volume:
International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 4, December 2014 - Special Issue on Selected Papers from ROCLING XXVI
Month:
December
Year:
2014
Address:
Editors:
Jen-Tzung Chien, Hung-Yu Kao, Chia-Hui Chang
Venue:
IJCLCLP
SIG:
Publisher:
Note:
Pages:
Language:
URL:
https://aclanthology.org/O14-5002
DOI:
Bibkey:
Cite (ACL):
Yi-An Wu and Shu-Kai Hsieh. 2014. Public Opinion Toward CSSTA: A Text Mining Approach. In International Journal of Computational Linguistics & Chinese Language Processing, Volume 19, Number 4, December 2014 - Special Issue on Selected Papers from ROCLING XXVI.
Cite (Informal):
Public Opinion Toward CSSTA: A Text Mining Approach (Wu & Hsieh, IJCLCLP 2014)
Copy Citation:
PDF:
https://aclanthology.org/O14-5002.pdf