Analysis of supervised text classification algorithms on corporate sustainability reports

Amir Mohammad Shahi*, Biju Issac, Jashua Rajesh Modapothala

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Machine Learning approach to text classification has been the dominant method in the research and application field since it was first introduced in the 1990s. It has been proven that document classification applications based on Machine Learning produce competitive results to those based on the Knowledge Based approaches. This approach has been widely researched upon as well as applied in various applications to solve various text categorization problems. In this research we have applied such techniques in a novel effort to find out which document classification algorithms perform best on Corporate Sustainability Reports.

Original languageEnglish
Title of host publicationProceedings of 2011 International Conference on Computer Science and Network Technology, ICCSNT 2011
PublisherIEEE
Pages96-100
Number of pages5
Volume1
ISBN (Electronic)978-1-4577-1587-7
ISBN (Print)9781457715846
DOIs
Publication statusPublished - 12 Apr 2012
Externally publishedYes
Event2011 International Conference on Computer Science and Network Technology, ICCSNT 2011 - Harbin, China
Duration: 24 Dec 201126 Dec 2011

Conference

Conference2011 International Conference on Computer Science and Network Technology, ICCSNT 2011
CountryChina
CityHarbin
Period24/12/1126/12/11

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