Sentiment Analysis for Customer Reviews

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School of Business | Bachelor's thesis
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Authors

Date

2017

Department

Tieto- ja palvelutalouden laitos

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.

Description

Thesis advisor

Wallenius, Jyrki

Keywords

sentiment analysis, opinion mining, customer reviews, data analysis

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Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-201707046234

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[kand] Kauppakorkeakoulu / BIZ