Analysis Of Personal Relationships From A Sentimental Standpoint And Support For Mental Health

Dr. Shubhangi D C, Dr. Baswaraj Gadgay, Uzma Tarannum
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Abstract

Mental complaint, which is primarily brought on by depressions, and commending causes of early death moment. Suicidal studies brought on by depression seriously hamper daily performing. Sentiment analysis, which aims to discover the character of textbook and categorizes into positive, negative, and neutral, is a trendy issue that has been on exploration for decades. In moment’s digital terrain, sentiment analysis has access to a lot of data. So, our thing is to concentrate on developing a system for textbook, videotape, and audio analysis- grounded depression identification. This system will be created using sentiment analysis and natural language processing ways. Depending on the feelings deduced from stoner input, the application will classify textbook, audio, and visual signals as positive or negative.
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从情感角度分析人际关系,为心理健康提供支持
主要由抑郁症带来的精神抱怨,以及导致早逝的原因。抑郁症带来的自杀研究严重妨碍了日常工作。情感分析旨在发现教科书的特征,并将其分为正面、负面和中性,是一个探索了几十年的时髦问题。在当今的数字化时代,情感分析可以获取大量数据。因此,我们的目标是开发一个用于课本、录像带和音频分析的系统--基于抑郁的识别。该系统将采用情感分析和自然语言处理方法。根据从抑郁症患者输入中推断出的情感,应用程序将把课本、音频和视频信号分为积极和消极两种。
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