Reliability assessment of an intelligent approach to corporate sustainability report analysis

Amir Mohammad Shahi*, Biju Issac, Jashua Rajesh Modapothala

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationInnovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering
Number of pages8
ISBN (Electronic)978-3-319-06773-5
ISBN (Print)978-3-319-06772-8
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100


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