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Gulaty, Mayank (2016) Aspect-Based Sentiment Analysis. Masters thesis, Dublin, National College of Ireland.
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Abstract
In this fast paced and social media frenzy world, decision making has been revolutionized as there are lots of opinions floating on the internet in the form of blogs, social media updates, forums etc. This paper focuses on how banks can utilize these reviews to improve their services. The reviews are scraped from the internet and the sentiment analysis is done on an aspect level to have a much clear idea of where the banks are performing bad according to the customers or users.
| Item Type: | Thesis (Masters) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science |
| Divisions: | School of Computing > Master of Science in Data Analytics |
| Depositing User: | Caoimhe Ní Mhaicín |
| Date Deposited: | 30 Jan 2017 09:04 |
| Last Modified: | 30 Jan 2017 09:04 |
| URI: | https://norma.ncirl.ie/id/eprint/2529 |
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