Issues and Dependencies on Affect Data Models For Assessment of Disorders- A Survey

Abstract

Analysis of free-form data has always been a challenge. In that, data depicting affects in hidden form and/or in various modes complicates the task of mining to identify and analyze relevant affects from the input. Affect analysis is required in various applications such as mood identification, evaluation of learning disorders, product reviews, and blog/forum opinion analysis. This paper focuses on identification of affect parameters and related issues in design of cognitive systems for diagnosis and evaluation of psychological disorders. The paper presents a survey on the various uni- and multi-modal affect analysis systems designed for similar applications.

Authors and Affiliations

Rekha S. Sugandhi, and Anjali R. Mahajan

Keywords

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  • EP ID EP27732
  • DOI -
  • Views 258
  • Downloads 4

How To Cite

Rekha S. Sugandhi, and Anjali R. Mahajan (2013). Issues and Dependencies on Affect Data Models For Assessment of Disorders- A Survey. International Journal of Research in Computer and Communication Technology, 2(11), -. https://europub.co.uk/articles/-A-27732