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Analysis of Theme Impact in Consumer Reviews using Natural Language Processing Techniques

Suryawanshi, Neha Sunil (2022) Analysis of Theme Impact in Consumer Reviews using Natural Language Processing Techniques. Masters thesis, Dublin, National College of Ireland.

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The hotel industry is an economically growing asset for the United States of America (USA). It is a vast, diverse and an ever-expanding industry that provides people with services such as accommodation, food, leisure activities etc. What the guests think and post about the hotel has an impact on the potential consumers and thereby affecting the profitability of the hotels. Thus the guest reviews are crucial for hotels. For this very reason it becomes necessary to investigate the reviews, to identify any gaps in the business process. The reviews for hotels are available in a huge amount. Scanning manually through each and every review is impossible. NLP techniques such as topic modelling, text categorization, sentiment analysis etc., are efficient enough to process these large sets of textual data and produce a result comprehensible to a layman as well. This research focuses on identifying the aspects from the reviews so that the sentiment analysis can be done specific to the aspect.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing
H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Hospitality Industry
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 13 Mar 2023 16:23
Last Modified: 13 Mar 2023 16:23

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