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%0 Conference Proceedings
%T Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis
%A Poria, Soujanya
%A Cambria, Erik
%A Gelbukh, Alexander
%Y Màrquez, Lluís
%Y Callison-Burch, Chris
%Y Su, Jian
%S Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
%D 2015
%8 September
%I Association for Computational Linguistics
%C Lisbon, Portugal
%F poria-etal-2015-deep
%R 10.18653/v1/D15-1303
%U https://aclanthology.org/D15-1303
%U https://doi.org/10.18653/v1/D15-1303
%P 2539-2544

Markdown (Informal)

[Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis](https://aclanthology.org/D15-1303) (Poria et al., EMNLP 2015)

• Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis (Poria et al., EMNLP 2015)

ACL

• Soujanya Poria, Erik Cambria, and Alexander Gelbukh. 2015. Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2539–2544, Lisbon, Portugal. Association for Computational Linguistics.