Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon.

Kar Wai Lim|Wray L. Buntine


Anthology ID:DBLP:conf/cikm/LimB14
Volume:Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014
Year:2014
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1319-1328
URL:https://doi.org/10.1145/2661829.2662005
DOI:https://doi.org/10.1145/2661829.2662005
DBLP:conf/cikm/LimB14
BibTeX:
@inproceedings{lim-2014-twitter, author = {Kar Wai Lim and Wray L. Buntine}, editor = {Jianzhong Li and Xiaoyang Sean Wang and Minos N. Garofalakis and Ian Soboroff and Torsten Suel and Min Wang}, title = {{Twitter Opinion Topic Model: Extracting Product Opinions from Tweets by Leveraging Hashtags and Sentiment Lexicon}}, booktitle = {{Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014}}, pages = {1319--1328}, publisher = {ACM}, year = {2014}, url = {https://doi.org/10.1145/2661829.2662005}, doi = {https://doi.org/10.1145/2661829.2662005} }