Normalization of common noisy terms in Malaysian online media
This paper proposes a normalization technique of noisy terms that occur in Malaysian micro-texts.Noisy terms are common in online messages and influence the results of activities such as text classification and information retrieval.Even though many researchers have study methods to solve this prob...
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2012
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my.uum.repo.109332015-05-25T03:06:27Z http://repo.uum.edu.my/10933/ Normalization of common noisy terms in Malaysian online media Samsudin, Norlela Puteh, Mazidah Hamdan, Abdul Razak Ahmad Nazri, Mohd Zakree HD28 Management. Industrial Management This paper proposes a normalization technique of noisy terms that occur in Malaysian micro-texts.Noisy terms are common in online messages and influence the results of activities such as text classification and information retrieval.Even though many researchers have study methods to solve this problem, few had looked into the problems using a language other than English. In this study, about 5000 noisy texts were extracted from 15000 documents that were created by the Malaysian.Normalization process was executed using specific translation rules as part or preprocessing steps in opinion mining of movie reviews.The result shows up to 5% improvement in accuracy values of opinion mining. 2012-07-04 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/10933/1/CR204.pdf Samsudin, Norlela and Puteh, Mazidah and Hamdan, Abdul Razak and Ahmad Nazri, Mohd Zakree (2012) Normalization of common noisy terms in Malaysian online media. In: Knowledge Management International Conference (KMICe) 2012, 4 – 6 July 2012, Johor Bahru, Malaysia. http://www.kmice.uum.edu.my |
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HD28 Management. Industrial Management Samsudin, Norlela Puteh, Mazidah Hamdan, Abdul Razak Ahmad Nazri, Mohd Zakree Normalization of common noisy terms in Malaysian online media |
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This paper proposes a normalization technique of noisy terms that occur in Malaysian micro-texts.Noisy terms are common in online messages and influence the results of activities such as text classification and information retrieval.Even though many researchers have study methods to solve this
problem, few had looked into the problems using a language other than English. In this study, about 5000 noisy texts were extracted from 15000 documents that were created by the Malaysian.Normalization process was executed using specific translation rules as part or preprocessing steps in opinion mining of movie reviews.The result shows up to 5% improvement in accuracy values of opinion mining. |
format |
Conference or Workshop Item |
author |
Samsudin, Norlela Puteh, Mazidah Hamdan, Abdul Razak Ahmad Nazri, Mohd Zakree |
author_facet |
Samsudin, Norlela Puteh, Mazidah Hamdan, Abdul Razak Ahmad Nazri, Mohd Zakree |
author_sort |
Samsudin, Norlela |
title |
Normalization of common noisy terms in Malaysian online media |
title_short |
Normalization of common noisy terms in Malaysian online media |
title_full |
Normalization of common noisy terms in Malaysian online media |
title_fullStr |
Normalization of common noisy terms in Malaysian online media |
title_full_unstemmed |
Normalization of common noisy terms in Malaysian online media |
title_sort |
normalization of common noisy terms in malaysian online media |
publishDate |
2012 |
url |
http://repo.uum.edu.my/10933/1/CR204.pdf http://repo.uum.edu.my/10933/ http://www.kmice.uum.edu.my |
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1644280500447084544 |
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13.160551 |