<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<component xmlns="https://actainformaticamalaysia.com" version="1.0.2" type="journal" xml:lang="en">
<header>

<publicationMeta level="journal">
			<publisherInfo>
				<publisherName>ZIBELINE INTERNATIONAL PUBLISHING</publisherName>
				<title type="subject" xml:lang="en" sort="Acta Informatica Malaysia">Acta Informatica Malaysia</title>
				<abbrev_title>Acta inform. Malays.</abbrev_title> 
			</publisherInfo>
			<issn type="online">2521-0505</issn>
			<issn type="print">2521-0874</issn>
		<titleGroup>
				<title type="title">TOWARD DEVELOPING A MINING OPINION MODEL: CONCEPTUAL FRAMEWORK</title>
			</titleGroup>
			
			<copyright ownership="publisher">Copyright © 2017 Zibeline International Publishing</copyright>
			<doi origin="zibeline international publishing" registered="yes">http://doi.org/10.26480/aim.02.2018.17.18</doi>
			
			<eventGroup>
				<event type="publication_date" date="01-01-2018"/>
			</eventGroup>
			
			<creators>
				<creator xml:id="rts" creatorRole="editor">
					<personName>
						<editorNames>Rawia Tahrir Salih Mohammed</editorNames>
					</personName>
				</creator>
				<creator xml:id="rha" creatorRole="editor">
					<personName>
						<editorNames>Rusli Haji Abdullah</editorNames>
					</personName>
				</creator>
			</creators>
			
</publicationMeta>

		<citation_keywords>
		    <keyword>Opinion mining, Sentiment analysis, mining opinion model, Use Satisfactions</keyword>
		</citation_keywords>
			
		<citation_pdfformat>
		     <pdf_url>https://actainformaticamalaysia.com/archives/AIM/2aim2018/2aim2018-17-18.pdf</pdf_url>
	    </citation_pdfformat>
	   
	   <citation_XMLformat>
	         <xml_url>https://actainformaticamalaysia.com/xml/2aim2018/2aim2018-17-18.xml</xml_url>
	   </citation_XMLformat>
	   
	   <citation_volume>
	       <volume>2</volume>
	   </citation_volume>
	   
	   <citation_issue>
	        <issue>2</issue>
	   </citation_issue>
	   
	   <citation_pages>
	      <pages>17-18</pages>
	   </citation_pages>  
	   
	   <citation_fulltext_html>
	       <fulltext_html>https://actainformaticamalaysia.com/aim-02-2018-17-18/</fulltext_html>
	    </citation_fulltext_html>
		
<abstractGroup>

			<abstract type="main" xml:lang="en">
			<title type="main">Summary</title>
			
					<p>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.</p>
			</abstract>
			</abstractGroup> 
			
</header>
	</component>