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Title:
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MINING CUSTOMER EXPERIENCE ON THE WEB 2.0 |
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Author(s):
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Carolin Kaiser |
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ISBN:
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978-972-8924-68-3 |
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Editors:
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Pedro Isaías, Miguel Baptista Nunes and Dirk Ifenthaler |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Data Mining, Opinion Mining, Text Mining, Web 2.0 |
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Type:
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Full Paper |
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First Page:
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3 |
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Last Page:
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10 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In the course of the social orientation of the internet there is an increasing number of customers who are sharing their
product experiences. The growing web 2.0 holds a valuable source of knowledge for companies. However, the manual
analysis of customer experience in the web 2.0 is very time consuming. This paper proposes a system which allows an
automatic analysis of customer experience by using methods from text mining and data mining. The system enables the
extraction, aggregation and analyzation of product features and their evaluations. Thus valuable information for product
development and improvement can be gained. |
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