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Data Mining Social Media for Marketing Insights

Data Mining Social Media for Marketing Insights A new study suggests that the innocent, serious and sometimes caustic remarks you happen to make on a social media site will soon be scrutinized to inform policymakers, marketing departments and others on emerging trends and attitudes.

European researchers analyzed thousands of microblogging updates and determined social media sites are a rich source of information for marketing insights.

The study results are detailed in the International Journal of Electronic Business.

Many people are now inclined and able to share their opinions widely thanks to social media, on microblogging sites including Twitter and online social networks such as Facebook.

Whether anybody takes any notice of those opinions is a moot point.

Researchers discovered endlessly strident and highly offensive comments on virtually every Youtube clip. They discovered that news stories, particularly those on hot topics  such as abortion, religion, evolution, climate change, twerking and selfies, are “trolled” narcissistically.

But, for those in the world of commerce and in particular the marketing wing of many organizations, all that commentary is not meaningless — it is a deep lode of information to be mined.

Within the gems unearthed one might find the collective opinion on almost any product or service, the trends, the fancies of the early adopters and the likes and dislikes of the masses.

Marketing mavens everywhere are looking for ways to dust off these gems and to polish them up for the consumption of their sales and advertising teams.

One such methods of ways of panning the Twitterhood for precious nuggets of insight that could mean the difference between a marginal profit margin or a company marginalized on the whim of publicity has been developed by a research team in Greece.

Informatics experts analyzed hundreds of thousands of microblogging messages containing comments, sentiments and opinions about food and brand products.

Social networking on sites like Facebook and Google+ and microblogging services, such as Twitter, coupled with our 24/7 always connected via mobile or broadband attitude means that countless people cannot escape the opinions of others or of sharing their own ever wider.

The team’s system harvested millions of tweets and used a computer algorithm to automatically extract the sentiment from those tweets.

“Our results provide strong indications that given the use of such services by millions of users, they can play a key role in supporting and enhancing important business processes,” the team said.

They suggest that key aspects of the world of modern marketing are not so different from those that existed before online social media — company-to-customer relationship management, brand image building and Word-of-Mouth (WoM) branding — but today the rate at which information might be exchanged is so much faster than ever before.

Moreover, a positive message that goes viral can lead to an enormous sales boom whereas a deleterious comment adopted as a true reflection of a given product by the many will lead to a bust that could lead to the swift demise of a product or even a company.

The team’s analysis of well-known brands as well as world affairs demonstrates how data mining Twitter can spot shifting opinion on fast-food outlets, wars or potentially even famine and flood.

“We believe that the amount of information contained in microblogging websites makes them an invaluable source of data for continuous monitoring… using opinion mining and sentiment analysis techniques,” the team said.

Source: Inderscience – Alpha Galileo

 

Abstract of social media photo by shutterstock.

Data Mining Social Media for Marketing Insights

Rick Nauert PhD

Rick Nauert, PhDDr. Rick Nauert has over 25 years experience in clinical, administrative and academic healthcare. He is currently an associate professor for Rocky Mountain University of Health Professionals doctoral program in health promotion and wellness. Dr. Nauert began his career as a clinical physical therapist and served as a regional manager for a publicly traded multidisciplinary rehabilitation agency for 12 years. He has masters degrees in health-fitness management and healthcare administration and a doctoral degree from The University of Texas at Austin focused on health care informatics, health administration, health education and health policy. His research efforts included the area of telehealth with a specialty in disease management.

APA Reference
Nauert PhD, R. (2015). Data Mining Social Media for Marketing Insights. Psych Central. Retrieved on June 22, 2018, from https://psychcentral.com/news/2013/12/02/data-mining-social-media-for-marketing-insights/62743.html

 

Scientifically Reviewed
Last updated: 6 Oct 2015
Last reviewed: By John M. Grohol, Psy.D. on 6 Oct 2015
Published on PsychCentral.com. All rights reserved.