Publication Type:

Conference Paper

Source:

Proceedings of the International Conference on Information and Communication Technologies (ICICT), Procedia Computer Science, Science Direct (2015)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84931375757&partnerID=40&md5=b1e4c696aca2861ced1d79825b02ad0e

Keywords:

Emotion classification, Hybrid approach, Speech mining, Text mining

Abstract:

This paper examines the dynamics of access and exclusion in children’s Internet use, in both private and public school spaces and interrogates the role of socioeconomic and demographic predictors as well as the schooling system in shaping Internet habits. More specifically, it explores the nature of Internet use by primary school children, mainly for education and information and attempts to understand the differences across and within two types of schools- a rural public school and an elite private school. Through in-depth interviews, this research investigates the level of computer and Internet literacy among the primary school children in the age group of 8-10 years and reports the differences observed among the various social dimensions. It attempts to stress the significance and need in today’s context to provide the opportunities for physical and material access so that disadvantaged children are not excluded from the digital opportunities. © Media Watch.

Cite this Research Publication

Jasmine Bhaskar, Sruthi, K., and Prof. Prema Nedungadi, “Hybrid approach for emotion classification of audio conversation based on text and speech mining”, in Proceedings of the International Conference on Information and Communication Technologies (ICICT), Procedia Computer Science, 2015.

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