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A New Framework for Sentiment Analysis with Six-Tuples

Debanjan Banerjee, Bikromadittya Mondal, Sarit Chakraborty. Published in Information Sciences.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Debanjan Banerjee, Bikromadittya Mondal, Sarit Chakraborty
10.5120/cae2015651852

Debanjan Banerjee, Bikromadittya Mondal and Sarit Chakraborty. Article: A New Framework for Sentiment Analysis with Six-Tuples. Communications on Applied Electronics 2(9):25-29, September 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Debanjan Banerjee and Bikromadittya Mondal and Sarit Chakraborty},
	title = {Article: A New Framework for Sentiment Analysis with Six-Tuples},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {2},
	number = {9},
	pages = {25-29},
	month = {September},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Text analytics is one of the growing fields of interest from the scientific and the business communities in recent times.In this paper a new framework is introduced which consists of six elements for presenting a structured and organized form of describing any opinionated sentiment. The basic elements of this frameworkare opinion holder, an entity which is the intended target of the opinion, time of the expressed opinion, sentiment of the opinion, aspect or attribute of the opinion and representation of the opinion. This framework has been constructed keeping in mind the importance of the influence an opinion can inflict in the minds of those to whom the opinion is expressed by the opinion maker. The framework has been assumed from the perspective of the potential influence an opinion can have on the receivers of the opinion. The proposed framework is more improved than other existing works done so far.

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Keywords

Sentiment analysis framework, Opinion mining, Text analytics, Natural language processing.