NDLI: Mining commonalities and variabilities from natural language documents

Content Provider	ACM Digital Library
Author	Ferrari, Alessio Spagnolo, Giorgio O. Dell'Orletta, Felice
Abstract	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.
Starting Page	116
Ending Page	120
Page Count	5
File Format	PDF
ISBN	9781450319683
DOI	10.1145/2491627.2491634
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-08-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Variability mining Software product lines
Content Type	Text
Resource Type	Article

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Mining commonalities and variabilities from natural language documents