Deep multimodal learning for affective analysis and retrieval

Deep multimodal learning for affective analysis and retrieval

Social media has been a convenient platform for voicing opinions through posting messages, ranging from tweeting a short text to uploading a media file, or any combination of messages. Understanding the perceived emotions inherently underlying these user-generated contents (UGC) could bring light to...

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Bibliographic Details
Main Authors: PANG, Lei, ZHU, Shiai, NGO, Chong-wah
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Cross-modal retrieval
deep Boltzmann machine
emotion analysis
multimodal learning
Data Storage Systems
Graphics and Human Computer Interfaces
Online Access:https://ink.library.smu.edu.sg/sis_research/6356
https://ink.library.smu.edu.sg/context/sis_research/article/7359/viewcontent/deep_multimodal_emotion_pl.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/6356
https://ink.library.smu.edu.sg/context/sis_research/article/7359/viewcontent/deep_multimodal_emotion_pl.pdf

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