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.

Highlights

  • Celiac disease (CD) is an inherited, autoimmune disorder in which proteins from the grains wheat, rye and barley damage the small intestine [1]

  • 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

  • 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

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Summary

Introduction

Celiac disease (CD) is an inherited, autoimmune disorder in which proteins from the grains wheat, rye and barley (collectively called gluten) damage the small intestine [1]. Gluten-free (GF) products are consumed both by individuals with celiac disease and by health conscious people for weight management, high fiber and high protein diet and by diabetic patients [6]. The key players in this market are the Boulder Brands Inc., The Hain Celestial Group, Inc., Dr Schar, General Mills, Inc., Kellogg’s Company and The Kraft Heinz Company [7] Restaurants are redoing their menus to attract gluten-free customers, food manufacturers are creating new products, and retailers are redesigning their stores [8]. Consumer preferences for gluten-free foods were analyzed on the basis of public sentiment obtained from social and editorial media data. The study revealed that most of the consumers talked and expected product innovation in food sections like snacks, fast food (pizza, pasta and noodles) and desserts on social and editorial media. The study is very unique in itself since it combines big data to the niche market of gluten-free foods to draw the valuable consumer preferences using online platforms

Methodology
Global Sentiment Analysis for Gluten-Free Foods
Top Searched Keywords on Google for Gluten-Free Foods
Exploring Consumer Preferences for Gluten-Free Foods Using Perceptual Map
Conclusion
Limitations of the Study
Full Text
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