An automatic adolescent psychological pressure detection system using advanced data mining techniques
Pages : 258-262
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Abstract
Sentiment analysis alludes to the application for processing natural language, content investigation, computational etymology to deliberately perceive, remove, evaluate, and learn full of feeling states and emotions. Twitter, being one among a few well known web based life stages, is where individuals frequently decide to express their feelings and notions about personal life and other things.Advanced data mining techniques could give powerful algorithms and frameworks to a target appraisal and observing of mental issue and, specifically of adolescent psychological pressure. In this paper, the application of sentiment analysis methodologies to psychological pressure detection and prediction are discussed. In addition, a fundamental plan of an incorporated multimodal framework for psychological pressure checking, that incorporates estimation investigation and full of feeling processing strategies, is proposed. In particular, the paper traces the fundamental issues and moves comparative with the structure of such a framework.
Keywords: Psychological pressure, text mining, sentiment analysis, social media, machine learning.