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  4. Study 6 - Extracting consumers needs for new products - a web mining approach
 
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2011
Book Article
Title

Study 6 - Extracting consumers needs for new products - a web mining approach

Abstract
Here we introduce a web mining approach for automatically identifying new product ideas extracted from web logs. A web log - also known as blog - is a web site that provides commentary, news, and further information on a subject written by individual persons. We can find a large amount of web logs for nearly each topic where consumers present their needs for new products. These new product ideas probably are valuable for producers as well as for researchers and developers. This is because they can lead to a new product development process. Finding these new product ideas is a well-known task in marketing. Therefore, with this automatic approach we support marketing activities by extracting new and useful product ideas from textual information in internet logs. This approach is implemented by a web-based application named Product Idea Web Log Miner where users from the marketing department provide descriptions of existing products. As a result, new product ideas are extracted from the web logs and presented to the users.
Author(s)
Thorleuchter, Dirk  
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT  
Poel, D. van den
Ghent University, Faculty of Economics and Business Administration
Prinzie, A.
Ghent University, Faculty of Economics and Business Administration
Mainwork
Essays on text mining for improved decision making  
File(s)
Download (184.09 KB)
Rights
Use according to copyright law
DOI
10.24406/publica-fhg-224981
Language
English
Fraunhofer-Institut für Naturwissenschaftlich-Technische Trendanalysen INT  
Keyword(s)
  • web mining

  • text classification

  • new product development

  • knowledge discovery

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