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Fusion Sentimental Analysis in Self-Growth Broadcasting

Authors
Kim, SvetlanaYoon, YongIk
Issue Date
May-2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
hybrid fusion; machine learning; sentimental analysis; texting mining
Citation
Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018, pp 756 - 759
Pages
4
Journal Title
Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
Start Page
756
End Page
759
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/4786
DOI
10.1109/BigComp.2018.00144
ISSN
2375-9356
Abstract
The sentimental analysis is an important research significant factor in modeling users emotional behavior. Understanding emotions is an influential factor in the processes for increasing awareness of human behavior. This article describes a hybrid fusion method that used multidimensional analysis for recognition continuous and unobtrusive user's emotion.
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공과대학 (인공지능공학부)
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