- Anthology ID:
- D15-1303
- Volume:
- Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Month:
- September
- Year:
- 2015
- Address:
- Lisbon, Portugal
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2539–2544
- Language:
- URL:
- https://aclanthology.org/D15-1303
- DOI:
- 10.18653/v1/D15-1303
- Cite (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.
- Cite (Informal):
- Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis (Poria et al., EMNLP 2015)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/D15-1303.pdf