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Tensor Fusion Network for Multimodal Sentiment Analysis
Amir Zadeh
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Minghai Chen
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Soujanya Poria
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Erik Cambria
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Louis-Philippe Morency
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang
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Ziyin Liu
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AmirAli Bagher Zadeh
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Louis-Philippe Morency
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ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection
Devamanyu Hazarika
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Soujanya Poria
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Rada Mihalcea
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Erik Cambria
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Roger Zimmermann
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Contextual Inter-modal Attention for Multi-modal Sentiment Analysis
Deepanway Ghosal
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Md Shad Akhtar
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Dushyant Chauhan
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Soujanya Poria
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Asif Ekbal
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Pushpak Bhattacharyya
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Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos
Devamanyu Hazarika
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Soujanya Poria
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Amir Zadeh
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Erik Cambria
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Louis-Philippe Morency
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Roger Zimmermann
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Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
Zhun Liu
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Ying Shen
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Varun Bharadhwaj Lakshminarasimhan
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Paul Pu Liang
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AmirAli Bagher Zadeh
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Louis-Philippe Morency
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Getting the subtext without the text: Scalable multimodal sentiment classification from visual and acoustic modalities
Nathaniel Blanchard
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Daniel Moreira
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Aparna Bharati
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Walter Scheirer
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Recognizing Emotions in Video Using Multimodal DNN Feature Fusion
Jennifer Williams
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Steven Kleinegesse
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Ramona Comanescu
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Oana Radu
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Multimodal Relational Tensor Network for Sentiment and Emotion Classification
Saurav Sahay
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Shachi H Kumar
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Rui Xia
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Jonathan Huang
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Lama Nachman
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Polarity and Intensity: the Two Aspects of Sentiment Analysis
Leimin Tian
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Catherine Lai
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Johanna Moore
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DNN Multimodal Fusion Techniques for Predicting Video Sentiment
Jennifer Williams
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Ramona Comanescu
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Oana Radu
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Leimin Tian
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Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training
Peng Xu
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Andrea Madotto
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Chien-Sheng Wu
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Ji Ho Park
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Pascale Fung
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http://goo.gl/1rh1JN
https://doi.org/10.21437/Interspeech.2016-692
Field Of Study
Linguistic Trends
Embeddings
Task
Semantic Parsing
Sentiment Analysis
Summarization
Machine Translation
Language
English
Dataset
Social Media
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