Acta Informatica Malaysia (AIM)

TOWARD DEVELOPING A MINING OPINION MODEL: CONCEPTUAL FRAMEWORK

December 6, 2018 Posted by Nurul In Acta Informatica Malaysia (AIM)

ABSTRACT

 

TOWARD DEVELOPING A MINING OPINION MODEL: CONCEPTUAL FRAMEWORK

Journal: Acta Informatica Malaysia (AIM)

Author: Rawia Tahrir Salih Mohammed, Rusli Haji Abdullah

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Doi:10.26480/aim.02.2018.17.18

Opinion mining or as called sentiment analysis, its study of public opinions, attitude, emotions, sentiment towards specific issues or targets computationally. People most likely prefer to discuss and express their own opinion or feeling publicly behind the PC screen through social media net- works such as twitter, Facebook, flickers…etc. This huge amount of opinions or sentiments that travel though social media networks everywhere give us important indicator to understand human behaviour and how it’s can predict the use satisfaction. Opinion mining/sentiment analysis consider one of the most active research sector in natural language processing, data mining, information retrieval, and Web mining. Recently, many re- searches have spread to wide spectrum areas like business and management sciences, political sciences and social sciences. This paper review will have proposed initial mining opinion model that would be first stage in improving recommendation and supporting system quality. This paper design as following, section one: An introduction, section two: method and the applied theories, section three an initial mining opinion model proposal, last section is the conclusion.

Pages 17-18
Year 2018
Issue 2
Volume 2

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