Aspects Regarding Detection of Sentiment in Web Content

Aspects Regarding Detection of Sentiment in Web Content

Cristian Bucur (Bucharest Academy of Economic Studies, Romania & Petroleum and Gas University of Ploiesti, Romania)
Copyright: © 2016 |Pages: 10
DOI: 10.4018/978-1-4666-9840-6.ch010
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Abstract

Last decade evolutions on telecommunications changed the way the information is created and presented. New technologies, has allowed the transition from static presentation of information, to a dynamic way, directly involving users. The Web is currently a platform that allows users to interact with each other, to facilitate the exchange of information. Users have become, from mere consumers of information in the online environment, active participants which increases the information content.
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Applications Of Sentiment Analysis

Opinions are important for humans because it influence their behavior and are a base for decision making. An important part of getting knowledge in a market field represents finding what people think about that field. People search online for comment and reviews posted by others when they want to make a buying transaction or want to inform themselves in a specific topic.

Identifying consumer opinions on a company's products is as important as knowing sales volumes, but often it is more difficult to obtain. Companies can no longer rely only on internal data in their business analysis. Current research in sentiment analysis addresses these needs of expanding the amount of information collected by companies, by analyzing the huge volume of information generated by the online social networks (Facebook, Twitter, Google+), the comments from e-commerce sites (Amazon.com) and reviews on products or services on specific platforms (Yassine, 2010).

By revealing users opinion on specific entities or topics, sentiment analysis can be used for (Collomb& Costea 2014):

  • Summarizing indication and recommendations for customers for buying a product

  • Extracting opinion for a specific feature of a product customer want to buy

  • Helping companies to know the opinion of customers regarding their products

  • Finding for a company the weak points in market perception

  • Determining the relevant information for a statistical analysis by removing the subjective part of content.

Given the applications presented above there are multiple areas where such analysis can be used:

  • E-commerce for providing products information

  • Marketing for determining customers expectations and needs, also for determining brand reputation, market perception and keeping clients (Gautami Tripathi, 2014)

  • Politics for prediction of election results

  • Government and administration for analyzing public opinion on policies and adopted reforms

  • Stock market for predicting the evolution of stocks in correlation with market perception regarding a listed company

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