Recommender system for food in a restaurant based on Natural Language Processing and Machine Learning

Ratnaparkhi, Kedar (2018) Recommender system for food in a restaurant based on Natural Language Processing and Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

Millions of customers post online reviews in the form of their own experience at restaurants. Some are positive while some are negative. Usually an overview of all the reviews is provided on the respective restaurant page. But this approach is hardly accurate or efficient. This research analyzes user reviews in restaurant domain, and then consolidates the information recommending the best dishes served to a customer at a restaurant. The system is developed using modern NLP techniques such as sentiment lexicon, sentiment scores, POS tagging to generate useful features and classify the information using Machine Learning classification algorithms such as KNN, Random Forest and SVM. The system achieved more than 93% accuracy across various experiments, with Random Forest performing best for the given dataset and SVM giving the best performance with a cross-validated dataset.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Food Industry H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Hospitality Industry
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	05 Nov 2018 11:08
Last Modified:	05 Nov 2018 11:08
URI:	https://norma.ncirl.ie/id/eprint/3426

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