New Frontiers in Communication and Intelligent Systems
Which Wine is that? A NLP Approach to Wine Variety Detection
Authors: Nirogi Surya Priyanka, Saumya Borwankar, Jaynil Shah, Sai Rohith, Deepankur Kansal, N Ganesh Rohit and Jai Prakash Verma
Publishing Date: 12-11-2021
ISBN: 978-81-95502-00-4
Abstract
Detecting wine variety based on the country, year of origin and the review alone is a very difficult task. This problem is converted into a classification problem using the combination of Natural Language Processing (NLP) and machine learning. A public dataset that consisted of wine variety corresponding to its country, review, designation, province, winery and year was used for analysis of proposed approach. Natural Language Processing is used as a preprocessing step in our approach along with neural network to build a classifier. For more robust training k-fold cross validation technique was also looked and implemented for the same. The evaluation metric chosen to analyse the performance was accuracy. 98\% accuracy was attained on the evaluation set with our model. To our best knowledge, this is the first attempt to exploit NLP and neural networks to deal with prediction of wine variety.
Keywords
Wine prediction, Neural Networks, Deep Learning, Machine Learning, Text Analytics.
Cite as
Nirogi Surya Priyanka, Saumya Borwankar, Jaynil Shah, Sai Rohith, Deepankur Kansal, N Ganesh Rohit and Jai Prakash Verma, "Which Wine is that? A NLP Approach to Wine Variety Detection", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2021, pp. 137-149. https://doi.org/10.52458/978-81-95502-00-4-17