Assessing corporate environmental and sustainability reports using text mining and bayesian estimate

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Teesside's Research Repository > Schools > School of Computing > Computer Science > Assessing corporate environmental and sustainability reports using text mining and bayesian estimate

Title:	Assessing corporate environmental and sustainability reports using text mining and bayesian estimate
Authors:	Modapothala, J. R. (Jashua) Issac, B. (Biju)
Affiliation:	Teesside University. School of Computing.
Citation:	Modapothala, J. R. & Issac, B. (2009) Assessing Corporate Environmental and Sustainability Reports using Text Mining and Bayesian Estimate', Proceedings of the International Conference on Software Technology and Engineering, 2009, Chennai, India,24-26 July. World Scientific Publishing, pp.151-155.
Publisher:	World Scientific Publishing
Conference:	International Conference on Software Technology and Engineering, 2009, Chennai, India, 24th - 26th July, 2009.
Issue Date:	Jul-2009
URI:	http://hdl.handle.net/10149/244314
Type:	Meetings and Proceedings
Language:	en en_GB
Keywords:	bayesian approach text mining data mining environmental reports sustainability reports
ISBN:	9789814289979
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 17/09/2012].
Citation Count:	0 [Web of Science, 17/09/12]
Appears in Collections:	Computer Science

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Please use this identifier to cite or link to this item: http://hdl.handle.net/10149/244314
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