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초록
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.
키워드
hybrid fusion; machine learning; sentimental analysis; texting mining; Behavioral research; Learning systems; Emotional behavior; Human behaviors; Hybrid fusions; Influential factors; Multi-dimensional analysis; sentimental analysis; Texting; Big data
- 제목
- Fusion Sentimental Analysis in Self-Growth Broadcasting
- 저자
- Kim, Svetlana; Yoon, YongIk
- 발행일
- 2018-05
- 유형
- Conference Paper
- 저널명
- Proceedings - 2018 IEEE International Conference on Big Data and Smart Computing, BigComp 2018
- 페이지
- 756 ~ 759