AS  Vol.10 No.3 , March 2019
Big Data Study for Gluten-Free Foods in India and USA Using Online Reviews and Social Media
Abstract: Celiac disease, gluten-allergy or gluten-sensitivity is caused due to glutamine protein from the grains like wheat, rye and barley (collectively called gluten). This protein damages the small intestine and causes stomach pain, bloating, weakness etc. Celiac disease, gluten-allergy or gluten-sensitivity has never really been taken seriously in developing countries like India. However, in developed nations like UK, USA, Canada and other parts of Europe, gluten-free foods have become quite popular. With a prevalence rate of about one in 100 - 133 people worldwide, celiac disease is widespread across the globe and life-long consumption of gluten-free food is recommended treatment for this allergy. Apart from celiac-disease patients, gluten-free foods are also consumed by health conscious people for weight management and high protein diet and by the patients for diabetes, autism and food allergies. Apart from gluten-free flour, biscuits, cookies and snacks, product innovations like gluten-free beers are becoming very popular. Big data including online blogs, articles, and reviews have played a major role in increased sales of gluten-free foods. Thus, analysis of editorial and social media content becomes essential to understand the leading trends in gluten-free foods. This study provided deep insights about positive, negative and neutral sentiments related to gluten-free foods using the data from Perspectory Media Insights and Google Trends. This study also revealed that most of the consumers talked and expected product innovation in food sections like snacks, fast food (pizza, pasta and noodles) and desserts through comments on social and editorial media. Searches were divided into developed (e.g., U.S.A.) and developing nations (e.g., India) to get more details about the consumer preferences. This study would help manufacturers of gluten-free foods to develop food products according to the choices and preferences of consumers. The study is very unique in itself since it combines big data to niche food market of gluten-free foods to draw the valuable consumer preferences using online platforms.
Cite this paper: Masih, J. , Verbeke, W. , Deutsch, J. , Sharma, A. , Sharma, A. , Rajkumar, R. and Matharu, P. (2019) Big Data Study for Gluten-Free Foods in India and USA Using Online Reviews and Social Media. Agricultural Sciences, 10, 302-320. doi: 10.4236/as.2019.103026.

[1]   Green, P.H. and Cellier, C. (2007) Celiac Disease. The New England Journal of Medicine, 357, 1731-1743.

[2]   Sheluga, D. (2014) The Truth about Gluten Free: Market Size and Consumer Behavior for Successful Business Decisions. Ardent Mills, 6, 14.

[3]   Catassi, C., Gatti, S. and Lionetti, E. (2015) World Perspective and Celiac Disease Epidemiology. Digestive Diseases, 33, 141-146.

[4]   Anonymous (2015) 40% Growth Predicted As Gluten Free Goes Mainstream. Bowman Ingredients.

[5]   Masih, J. and Sharma, A. (2016) Study on Consumer Behaviour and Economic Advancements of Gluten-Free Products. American Journal of Experimental Agriculture, 12.

[6]   Morreale, F., Angelino, D. and Pellegrini, N. (2018) Designing a Score-Based Method for the Evaluation of the Nutritional Quality of the Gluten-Free Bakery Products and their Gluten-Containing Counterparts. Plant Foods for Human Nutrition, 73, 154-159.

[7]   Reilly, N.R. (2016) The Gluten-Free Diet: Recognizing Fact, Fiction, and Fad. The Journal of Pediatrics, 175, 206-210.

[8]   DeJesus (2015) Here Are the 10 Top-Selling Cookbooks of 2014. Eater, 1, 5.

[9]   Anonymous (2016) Free from Gains Momentum: Sales of Free from Food Products Forecast to Surpass Half a Billion in the UK in 2016. Mintel.

[10]   Anonymous (2015) Gluten-Free Products Market by Type. Markets and Markets.

[11]   Makharia, G.K., Verma, A.K., Amarchand, R., Bhatnagar, S., Das, P., Goswami, A. and Anand, K. (2011) Prevalence of Celiac Disease in the Northern Part of India: A Community Based Study. Journal of Gastroenterology and Hepatology, 26, 894-900.

[12]   Ramakrishna, B.S. (2011) Celiac Disease: Can We Avert the Impending Epidemic in India? Indian Journal of Medical Research, 1, 5-8.

[13]   Singh, J. and Whelan, K. (2011) Limited Availability and Higher Cost of Gluten-Free Foods. Journal of Human Nutrition and Dietetics, 24, 479-486.

[14]   Masih, J. (2018) Study on Parameters of Consumer Preferences for Alternative Wheat Products (Gluten-Free Foods) in USA and India. Agricultural Sciences, 9, 385.

[15]   Masih, J. (2015) Impact Assessment of Nielsen as a Research Firm Using Editorial Online Media. EA Journals.

[16]   Pak, A. and Paroubek, P. (2010) Twitter as a Corpus for Sentiment Analysis and Opinion Mining. LREc, 10, 1320-1326.

[17]   Pang, B. and Lee, L. (2008) Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2, 1-135.

[18]   Taboada, M., Brooke, J., Tofiloski, M., Voll, K. and Stede, M. (2011) Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics, 37, 267-307.

[19]   Treem, J.W. and Leonardi, P.M. (2013) Social Media Use in Organizations: Exploring the Affordances of Visibility, Editability, Persistence, and Association. Annals of the International Communication Association, 36, 143-189.

[20]   Perspectory Media Insights (2017) Official Twitter Page.

[21]   Perspectory Media Insights (2017) Website.

[22]   Google Trends (2017) Official Website.

[23]   Jain, H. (2017) Web Based Application for Sentiment Analysis. International Journal of Education and Management Engineering, 1, 25-35.

[24]   Cherubini, F. (2016) Editorial Analytics: How News Media Are Developing and Using Audience Data and Metrics. Reutersinstitute.politics.ox.