Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis - researchr publication authors

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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]

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