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Aspect Based Sentiment Analysis and Feedback Ratings using Natural Language Processing on European Hotels

Dcunha, Princy (2019) Aspect Based Sentiment Analysis and Feedback Ratings using Natural Language Processing on European Hotels. Masters thesis, Dublin, National College of Ireland.

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The hospitality industry is the most blooming industries in today's date. Around 710 million international tourist arrivals were recorded in the European Union in the year 2008 and the number is predicted to increase greatly in the coming years. Tourism contributes to hospitality opportunities and that serves as a great business for hotel owners. The internet revolution has only made it better for them as it is a platform used by millions of people to express their experience and opinions about a service. These thoughts put forth by the users of the internet serves as a medium to textual data generation, which is helpful to analyse the needs and shortcomings of a business. In this project an aspect based sentiment analysis approach is used to classify user reviews as positive or negative and Machine learning classification models such as Naïve Bayes, Support Vector Machine, Logistic Regression , Random Forest and Decision Tree are used. Naïve Bayes was seen to outperform every algorithm used with a high accuracy of 84.55%. This project would benefit the hospitality industry in a way by knowing what their customers felt towards the services they offered. What remains unsolved is the approach of topic modelling on this particular 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 > Hospitality Industry
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Dan English
Date Deposited: 15 Jun 2020 12:44
Last Modified: 15 Jun 2020 12:44

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