Publication: Mining online community data: the nature of ideas in online communities
Date
Date
Date
2017
Journal Article
Published version
Abstract
Abstract
Abstract
Ideas are essential for innovation and for the continuous renewal of a firm’s product offerings. Previous research has argued that online communities contain such ideas. Therefore, online communities such as forums, Facebook groups, blogs etc. are potential gold mines for innovative ideas that can be used for boosting the innovation performance of the firm. However, the nature of online community data makes idea detection labor intensive. As an answer to this problem, research has shown that it might be possible to detect ideas from o
Additional indexing
Creators (Authors)
- Christensen, Kasper
- Scholderer, Joachim
- Liland, Kristian Hovde
- Kvaal, Knut
- Risvik, Einar
- Biancolillo, Alessandra
- Nørskov, Sladjana
- Næs, Tormod
Volume
Volume
Volume
62
Page range/Item number
Page range/Item number
Page range/Item number
246
Page end
Page end
Page end
256
Item Type
Item Type
Item Type
Journal Article
Keywords
Machine Learning, Text mining, Natural language processing, Online communities, ideas partial least square, support vector machines
Scope
Scope
Scope
Discipline-based scholarship (basic research)
Language
Language
Language
English
Publication date
Publication date
Publication date
2017-06-06
Date available
Date available
Date available
2017-08-07
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
0950-3293
OA Status
OA Status
OA Status
Closed
Free Access at
Free Access at
Free Access at
Unspecified
Publisher DOI
Other Identification Number
Other Identification Number
Other Identification Number
merlin-id:14981
Closed
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Files
Files
Files available to download:1
1-s2.0-S0950329317301374-main.pdfview file PDF|1Download629.15 KB
Content:Published Version
Language:eng
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Content:Published Version
Language:eng
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