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Aspect Based Sentiment Analysis Using Data Mining Techniques Within Irish Airline Industry

Mundalik, Aishwarya (2018) Aspect Based Sentiment Analysis Using Data Mining Techniques Within Irish Airline Industry. Masters thesis, Dublin, National College of Ireland.

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Abstract

Irish airline transport has created several distinct and significant types of economic benefit and income. Principal benefits have been created for clients; the passengers land the shipper, who uses air transport services. In addition, the airline industry has created connections between cities and markets globally that represent an important infrastructure asset which has lead to generating benefits such as foreign direct investment, business clusters, increased specialization and increase in the countrys economy productivity capacity. This project applies the aspect-based sentimental analysis approach and techniques to investigate whether these techniques can provide meaningful insights to enhance the performance of the Irish industry. In addition by analyzing twits and reviews, the project tackles the question of to what extend can analyzing of sentiments with respect to aspects become beneficial from customers perspective for them to be able to choose better airline service. The results of analyzed literature review are also presented. Based on identified gaps, several aspect based sentiment models are developed.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Aviation Industry
H Social Sciences > HF Commerce > Customer Service
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 03 Nov 2018 12:22
Last Modified: 03 Nov 2018 12:31
URI: http://trap.ncirl.ie/id/eprint/3413

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