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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006196

Page Number

1342-1346

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Title

A Survey on Machine Learning Based Sentimental Analysis Knowledge Framework

ISSN

2349-5162

Cite This Article

"A Survey on Machine Learning Based Sentimental Analysis Knowledge Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1342-1346, June-2020, Available :http://www.jetir.org/papers/JETIR2006196.pdf

Abstract

online social networks provide relevant information on users' opinions and posts on various topics. So applications, such as monitoring and detection systems can collect and analyse this data. This paper presents a knowledge-based system, which includes an emotional health monitoring system to detect users with possible psychological disorders specially depression and stress. Symptoms Of these psychological disorder are usually observed passively. In this situation, author argue that online social behaviour extraction offers an opportunity to actively identify psychological disorder at an early stage. It is difficult to identify the disorder because the psychological factors considered in standard diagnostic criteria questionnaire cannot be observed by the registers of online social activities. Our approach, New and innovative for the practice of psychological disorder detection, it does so do not trust the self-disclosure of those psychological factors through the questionnaires. Instead, propose a machine learning technique that is detection of psychological disorder in social networks which exploits the features extracted from social network data for identify with precision possible cases of disorder detection. We perform an analysis of the characteristics and we also apply machine learning in large-scale data sets and analyse features of the two types of psychological disorders.

Key Words

Sentiment analysis, knowledge personalization and customization, detection system, social networks, machine learning.

Cite This Article

"A Survey on Machine Learning Based Sentimental Analysis Knowledge Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1342-1346, June-2020, Available at : http://www.jetir.org/papers/JETIR2006196.pdf

Publication Details

Published Paper ID: JETIR2006196
Registration ID: 234198
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1342-1346
ISSN Number: 2349-5162

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Cite This Article

"A Survey on Machine Learning Based Sentimental Analysis Knowledge Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1342-1346, June-2020, Available at : http://www.jetir.org/papers/JETIR2006196.pdf




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