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  • 标题:Sentiment Classification in medical Care with Psychometric Analysis Using Emotion Detection
  • 本地全文:下载
  • 作者:Dr. Muddada Murali Krishna ; Vankara Jayavani ; Pooja Gotety
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2020
  • 卷号:68
  • 期号:3
  • 页码:63-66
  • DOI:10.14445/22312803/IJCTT-V68I3P112
  • 出版社:Seventh Sense Research Group
  • 摘要:The advancement of the technology in the present era is accelerating exponentially which leads to an increase in peer competition, mental tension and different mental problems like depression, schizophrenia, different disorders etc. So, a need for psychometric analysis is felt. Emotion recognition and sentiment analysis has gained a high level of popularity in research in the social networking but they have not been applied to the complicated problems of healthcare. But candidly speaking both the domains have great potential in solving some complex and interesting problems in medical science and engineering technology. This paper introduces a data science application, which acts as a psychometric analysis using the concept of Emotion recognition and sentiment analysis.
  • 关键词:Emotion Recognition; Sentiment Analysis; Schizophrenia; Natural Language Processing and Machine Learning.
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