Soujanya Poria, Erik Cambria, Alexander F. Gelbukh. Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis. In Lluís Màrquez, Chris Callison-Burch, Jian Su, Daniele Pighin, Yuval Marton, editors, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015. pages 2539-2544, The Association for Computational Linguistics, 2015. [doi]
@inproceedings{PoriaCG15,
title = {Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis},
author = {Soujanya Poria and Erik Cambria and Alexander F. Gelbukh},
year = {2015},
url = {http://aclweb.org/anthology/D/D15/D15-1303.pdf},
researchr = {https://researchr.org/publication/PoriaCG15},
cites = {0},
citedby = {0},
pages = {2539-2544},
booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015},
editor = {Lluís Màrquez and Chris Callison-Burch and Jian Su and Daniele Pighin and Yuval Marton},
publisher = {The Association for Computational Linguistics},
isbn = {978-1-941643-32-7},
}