Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis.

@inproceedings{yu-2016-datadriven, author = {Hongkun Yu and Jingbo Shang and Meichun Hsu and Mal\'{u} Castellanos and Jiawei Han}, editor = {Snehasis Mukhopadhyay and ChengXiang Zhai and Javed Mostafa and Elisa Bertino and Fabio Crestani and Javed Mostafa and Jie Tang and Luo Si and Xiaofang Zhou and Yi Chang and Yunyao Li and Parikshit Sondhi}, title = {{Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis}}, booktitle = {{Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016}}, pages = {939--948}, publisher = {ACM}, year = {2016}, url = {https://doi.org/10.1145/2983323.2983793}, doi = {https://doi.org/10.1145/2983323.2983793} }