2013 · 70 citations · 11 references
ComputingComputer ScienceData MiningNatural Language ProcessingText AnalyticsCompetitor AnalysisInformation ExtractionText MiningText RepresentationText Similarity AnalysisTextual AnalysisCommunications-based Train ControlLinguistic Feature AnalysisText Mining Features
A company who wishes to enter an established marked with a new, competitive product is required to analyse the product solutions of the competitors. Identifying and comparing the features provided by the other vendors might greatly help during the market analysis. However, mining common and variant features of from the publicly available documents of the competitors is a time consuming and error-prone task. In this paper, we suggest to employ a natural language processing approach based on contrastive analysis to identify commonalities and variabilities from the brochures of a group of vendors. We present a first step towards a practical application of the approach, in the the context of the market of Communications-Based Train Control (CBTC) systems.
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Reverse engineering feature models
Steven She, Rafael Lotufo, Thorsten Berger et al. · 2011 · 297 citations
Architecture, Industrial Engineering, Feature Engineering +6
On-demand feature recommendations derived from mining public product descriptions
Horatiu Dumitru, Marek Gibiec, Negar Hariri et al. · 2011 · 146 citations
On extracting feature models from product descriptions
Mathieu Acher, Anthony Cleve, Gilles Perrouin et al. · 2012 · 138 citations
An approach to constructing feature models based on requirements clustering
Kun Chen, Wei Zhang, Haiyan Zhao et al. · 2005 · 138 citations