Review on adopting concept extraction in weak signals detection in competitive intelligence
Author:
Affiliation:
1. IRDA, Rabat IT Center, ENSIAS, Mohammed V University in Rabat, Morocco
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3485557.3485560
Reference55 articles.
1. Latent Dirichlet Allocation;Blei M.;J. Mach. Learn. Res. 3, null,2003
2. Joshua Charles Campbell Abram Hindle and Eleni Stroulia. 2015. Chapter 6 - Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data. In The Art and Science of Analyzing Software Data Christian Bird Tim Menzies and Thomas Zimmermann(Eds.). Morgan Kaufmann Boston 139 – 159. https://doi.org/10.1016/B978-0-12-411519-4.00006-9 Joshua Charles Campbell Abram Hindle and Eleni Stroulia. 2015. Chapter 6 - Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data. In The Art and Science of Analyzing Software Data Christian Bird Tim Menzies and Thomas Zimmermann(Eds.). Morgan Kaufmann Boston 139 – 159. https://doi.org/10.1016/B978-0-12-411519-4.00006-9
3. A Systematic Literature Review of Mining Weak Signals and Trends for Corporate Foresight;Christian Muhlroth;Journal of Business Economics,2018
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