Opinion Mining in Social Big Data

19 Pages Posted: 17 Feb 2015 Last revised: 18 Feb 2015

See all articles by Peter Wlodarczak

Peter Wlodarczak

University of Southern Queensland - Faculty of Business, Education, Law and Arts

Mustafa Ally

University of Southern Queensland

Jeffrey Soar

University of Southern Queensland

Date Written: February 15, 2015

Abstract

Opinion mining has rapidly gained importance due to the unprecedented amount of opinionated data on the Internet. People share their opinions on products, services, they rate movies, restaurants or vacation destinations. Social Media such as Facebook or Twitter has made it easier than ever for users to share their views and make it accessible for anybody on the Web. The economic potential has been recognized by companies who want to improve their products and services, detect new trends and business opportunities or find out how effective their online marketing efforts are. However, opinion mining using social media faces many challenges due to the amount and the heterogeneity of the available data. Also, spam or fake opinions have become a serious issue. There are also language related challenges like the usage of slang and jargon on social media or special characters like smileys that are widely adopted on social media sites.

These challenges create many interesting research problems such as determining the influence of social media on people’s actions, understanding opinion dissemination or determining the online reputation of a company. Not surprisingly opinion mining using social media has become a very active area of research, and a lot of progress has been made over the last years. This article describes the current state of research and the technologies that have been used in recent studies.

Keywords: Big Data, Social Media, opinion mining, sentiment analysis

Suggested Citation

Wlodarczak, Peter and Ally, Mustafa and Soar, Jeffrey, Opinion Mining in Social Big Data (February 15, 2015). Available at SSRN: https://ssrn.com/abstract=2565426 or http://dx.doi.org/10.2139/ssrn.2565426

Peter Wlodarczak (Contact Author)

University of Southern Queensland - Faculty of Business, Education, Law and Arts ( email )

Toowoomba 4350, Queensland
Australia

Mustafa Ally

University of Southern Queensland

P.O.Box 238 Darling Heights
Toowoomba, Queensland 4350
Australia

Jeffrey Soar

University of Southern Queensland

P.O.Box 238 Darling Heights
Toowoomba, Queensland 4350
Australia

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