Intelligent Corporate Sustainability report scoring solution using machine learning approach to text categorization

Hdl Handle:
http://hdl.handle.net/10149/271572
Title:
Intelligent Corporate Sustainability report scoring solution using machine learning approach to text categorization
Authors:
Shahi, A. M. (Amir); Issac, B. (Biju); Modapothala, J. R. (Jashua)
Affiliation:
Teesside University. School of Comuting.
Citation:
Shahi, A. M., Issac, B. and Modapothala, J. R. (2012) 'Intelligent Corporate Sustainability report scoring solution using machine learning approach to text categorization', Proceedings of the 3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, 2012, Kuala Lumpur, Malaysia, October 6-9. Malaysia: IEEE, pp.227-232.
Publisher:
Institute of Electrical and Electronics Engineers
Conference:
3rd IEEE conference on sustainable utilization and development in engineering and technology, 2012, Kuala Lumpur, Malaysia, October 6 - October 9, 2012.
Issue Date:
9-Oct-2012
URI:
http://hdl.handle.net/10149/271572
DOI:
10.1109/STUDENT.2012.6408409
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6408409
Type:
Meetings and Proceedings
Language:
en
Keywords:
corporate sustainability report; CSR; feature selection; global reporting initiative; machine learning; NaiveBayes
ISBN:
9781467317054
Rights:
Subject to restrictions author can archive post-print (ie final draft post-refereeing).For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 08/03/2013].
Citation Count:
0 [Scopus, 08/03/2013]

Full metadata record

DC FieldValue Language
dc.contributor.authorShahi, A. M. (Amir)en_GB
dc.contributor.authorIssac, B. (Biju)en_GB
dc.contributor.authorModapothala, J. R. (Jashua)en_GB
dc.date.accessioned2013-03-08T14:45:37Zen
dc.date.available2013-03-08T14:45:37Zen
dc.date.issued2012-10-09en
dc.identifier.isbn9781467317054en
dc.identifier.doi10.1109/STUDENT.2012.6408409en
dc.identifier.urihttp://hdl.handle.net/10149/271572en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineersen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6408409en_GB
dc.rightsSubject to restrictions author can archive post-print (ie final draft post-refereeing).For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 08/03/2013].en_GB
dc.subjectcorporate sustainability reporten_GB
dc.subjectCSRen_GB
dc.subjectfeature selectionen_GB
dc.subjectglobal reporting initiativeen_GB
dc.subjectmachine learningen_GB
dc.subjectNaiveBayesen_GB
dc.titleIntelligent Corporate Sustainability report scoring solution using machine learning approach to text categorizationen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentTeesside University. School of Comuting.en_GB
dc.identifier.conference3rd IEEE conference on sustainable utilization and development in engineering and technology, 2012, Kuala Lumpur, Malaysia, October 6 - October 9, 2012.en_GB
ref.citationcount0 [Scopus, 08/03/2013]en_GB
or.citation.harvardShahi, A. M., Issac, B. and Modapothala, J. R. (2012) 'Intelligent Corporate Sustainability report scoring solution using machine learning approach to text categorization', Proceedings of the 3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, 2012, Kuala Lumpur, Malaysia, October 6-9. Malaysia: IEEE, pp.227-232.en
prism.startingPage227en
prism.endingPage232en
All Items in TeesRep are protected by copyright, with all rights reserved, unless otherwise indicated.