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Author Dey, L. ♦ Haque, S.M. ♦ Raj, N.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Text mining ♦ Accuracy ♦ Fuzzy clustering ♦ Ontology ♦ Noisy text ♦ Ontologies ♦ Feature extraction ♦ Actionable intelligence ♦ Opinion mining ♦ Noise measurement ♦ Business
Abstract Mining consumer-generated text can provide business intelligence to organizations by extracting important knowledge trapped in the form of opinions, thoughts, and ideas expressed by their employees and customers on various aspects relevant to business. The key challenge here is to extract and organize relevant information from noisy text in order to effectively transform it to actionable intelligence. However, there is no formal framework to guide this analytical task. In this work, we present a system that is suitable for purpose-driven mining of free-text customer feedback to convert the knowledge gained to actionable intelligence.
ISBN 9781424484829
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-08-31
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 721.02 kB
Page Count 4
Starting Page 239
Ending Page 242

Source: IEEE Xplore Digital Library