Immune based feature selection for opinion mining

Norlela Samsudin, Mazidah Puteh, Abdul Razak Hamdan, Mohd Zakree Ahmad Nazri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Opinions about a particular product, service or person are communicated effectively through online media such as Facebook, MySpace and Twitter. Unfortunately only a few researchers had researched on the performance of opinion mining using online messages that were written in Malay Languages. Opinion mining processing that uses Natural Language Processing approach is difficult due to the high content of noisy texts in online messages. On the other hand, opinion mining that uses machine learning approach requires a good feature selection technique since the current filter typed feature selection techniques require interference from the user to select the appropriate features. This study used a feature selection technique based on artificial immune system to select the appropriated features for opinion mining. Experiments with 2000 online movie reviews illustrated that the technique has reduced 90% of the features and improved opinion mining accuracy up to 15% with k Nearest Neighbor classifier and up to 6% with Naïve Baiyes classifier.

Original languageEnglish
Title of host publicationLecture Notes in Engineering and Computer Science
Pages1520-1525
Number of pages6
Volume3 LNECS
Publication statusPublished - 2013
Event2013 World Congress on Engineering, WCE 2013 - London
Duration: 3 Jul 20135 Jul 2013

Other

Other2013 World Congress on Engineering, WCE 2013
CityLondon
Period3/7/135/7/13

Fingerprint

Feature extraction
Classifiers
Immune system
Processing
Learning systems
Experiments

Keywords

  • Artificial immune system
  • Data mining
  • Feature selection
  • Opinion mining

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Samsudin, N., Puteh, M., Hamdan, A. R., & Ahmad Nazri, M. Z. (2013). Immune based feature selection for opinion mining. In Lecture Notes in Engineering and Computer Science (Vol. 3 LNECS, pp. 1520-1525)

Immune based feature selection for opinion mining. / Samsudin, Norlela; Puteh, Mazidah; Hamdan, Abdul Razak; Ahmad Nazri, Mohd Zakree.

Lecture Notes in Engineering and Computer Science. Vol. 3 LNECS 2013. p. 1520-1525.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Samsudin, N, Puteh, M, Hamdan, AR & Ahmad Nazri, MZ 2013, Immune based feature selection for opinion mining. in Lecture Notes in Engineering and Computer Science. vol. 3 LNECS, pp. 1520-1525, 2013 World Congress on Engineering, WCE 2013, London, 3/7/13.
Samsudin N, Puteh M, Hamdan AR, Ahmad Nazri MZ. Immune based feature selection for opinion mining. In Lecture Notes in Engineering and Computer Science. Vol. 3 LNECS. 2013. p. 1520-1525
Samsudin, Norlela ; Puteh, Mazidah ; Hamdan, Abdul Razak ; Ahmad Nazri, Mohd Zakree. / Immune based feature selection for opinion mining. Lecture Notes in Engineering and Computer Science. Vol. 3 LNECS 2013. pp. 1520-1525
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