Reliability Assessment of an Intelligent Approach to Corporate Sustainability Report Analysis

Shahi, Amir Mohammad, Issac, Biju and Modapothala, Jashua Rajesh (2015) Reliability Assessment of an Intelligent Approach to Corporate Sustainability Report Analysis. In: Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Springer, pp. 233-240. ISBN 978-3-319-06772-8

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Abstract

This paper describes our efforts in developing intelligent corporate sustainability report analysis software based on machine learning approach to text categorization and illustrates the results of executing it on real-world reports to determine the reliability of applying such approach. The document ultimately aims at proving that given sufficient training and tuning, intelligent report analysis could at last replace manual methods to bring about drastic improvements in efficiency, effectiveness and capacity.

Item Type:	Book Section
Uncontrolled Keywords:	Machine learning, Feature selection, Text classification, Document categorization, Supervised learning, Corporate sustainability report, GRI
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	12 Oct 2018 11:32
Last Modified:	11 Oct 2019 19:00
URI:	http://nrl.northumbria.ac.uk/id/eprint/36309

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