Economics at your fingertips  

Toward Developing A Mining Opinion Model:Conceptual FrameworkAbstract: 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

Rawia Tahrir Salih Mohammed () and Rusli Haji Abdullah
Additional contact information
Rawia Tahrir Salih Mohammed: Faculty of Computer Science and Information Technology,University Putra Malaysia
Rusli Haji Abdullah: Faculty of Computer Science and Information Technology,University Putra Malaysia

Acta Informatica Malaysia (AIM), 2018, vol. 2, issue 2, 17-18

Keywords: Opinion mining; Sentiment analysis; mining opinion model; Use Satisfactions. (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.26480/aim.02.2018.17.18

Access Statistics for this article

Acta Informatica Malaysia (AIM) is currently edited by Associate Professor Dr. Shahreen Kasim

More articles in Acta Informatica Malaysia (AIM) from Zibeline International Publishing
Bibliographic data for series maintained by Zibeline International Publishing ().

Page updated 2019-12-04
Handle: RePEc:zib:zbnaim:v:2:y:2018:i:2:p:17-18