Evolution of Opinion Mining


Sonai Muthu Anbananthen, Kalaiarasi and H. Elyasir, Ayoub Mohamed (2013) Evolution of Opinion Mining. Australian Journal of Basic and Applied Sciences, 7 (6). pp. 359-370. ISSN 1991-8178

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The growing availability of the internet and have marked the birth of a new type of society, where people can freely communicate and exchange ideas and opinions. Most of the opinions expressed are unstructured in nature. This gives birth to a new area of research called opinion mining. Opinion mining or sentiment analysis is a new area within the field of text mining, to provide better method in analyzing the unstructured text. The purpose of this paper is to walk through the timeline of opinion mining by identifying the changing direction of scholarly studies in this area. In other words, this study is an attempt to explain the evolution of opinion mining by including some of the significantly contributing papers in this field from the year 1979 to 2011. We have divided the progress into five phases; text interpretation, low-level opinion annotation, difference between subjectivity and objectivity, web data mining applications and lexical resources. This paper will provide academia and researches with insights into past direction and ideas for future research in opinion mining.

Item Type: Article
Uncontrolled Keywords: Opinion mining, Text mining, Timeline, Opinion Mining Evolution
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 13 Jan 2017 05:07
Last Modified: 13 Jan 2017 05:07
URII: http://shdl.mmu.edu.my/id/eprint/6121


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