Sentiment Analysis for Customer Reviews

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School of Business | Bachelor's thesis
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Date
2017
Major/Subject
Mcode
Degree programme
Business Technology
Language
en
Pages
28
Series
Abstract
The purpose of this paper is to introduce how sentiment analysis can be used to analyse customer reviews, and how this information can be utilized in businesses. The topic is a current one since it is the first time in history, there are huge amounts of reviews openly available online. These reviews are proven to be influential in sales, and therefore companies should see them as a valuable information source. Sentiment analysis makes it possible to analyse unstructured data sets to gain valuable insights from customers’ opinions. Literature review and illustrative example will be used to answer the following questions: 1. Why do companies need to monitor and understand what their customers are writing online? 2. How can sentiment analysis be used to analyse customer reviews to understand customer opinions? 3. How can this information be utilised in online business? 4. What are the benefits of the method? 5. What are the limitations of the method? The key findings of this paper are that sentiment analysis creates an opportunity to mine opinions from big unstructured dataset, and these results can be used to support decision making in several business applications.
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Thesis advisor
Wallenius, Jyrki
Keywords
sentiment analysis, opinion mining, customer reviews, data analysis
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