Emotion recognition model based on Indonesian sentiment text using machine learning and neuro-physiological approach /
Emotion Recognition in the Brain and Computer Interface (BCI) field is gaining popularity, not only in terms of volume or amount of incoming data but the variety of media used by netizens and the acceleration of increasing information (velocity) as well. Therefore, the development of techniques and...
Saved in:
主要作者: | Hulliyah, Khodijah (Author) |
---|---|
格式: | Thesis 圖書 |
語言: | English |
出版: |
Kuala Lumpur :
Kulliyyah of Information and Communication Technology, International Islamic University Malaysia,
2022
|
主題: | |
在線閱讀: | http://studentrepo.iium.edu.my/handle/123456789/11375 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Novice programmers' emotion and competency assessments using machine learning on physiological data /
由: Jannat, Fatima
出版: (2022) -
The application of adaptive neuro-fuzzy classifier using linguistic hedges in emotion recognition system
由: Mand, Ali Afzalian
出版: (2013) -
Isolated digit speech recognition in Malay language using neuro-fuzzy approach /
由: Ahmed, Reem Sabah
出版: (2009) -
Unionization method for changing opinion in sentiment classification using machine learning
由: Jalilvand, Abbas
出版: (2020) -
Sentiment analysis in Malay text from unlabelled data
由: Ho, Ian Heng Jin
出版: (2022)