Rarity has important implications with respect to information technology (IT) resources, enabling firms to develop competitive advantage. We study the effect of firms’ possession of rare technology (IT) resources in the formation of alliances and its effect on firm performance. Using text-mining techniques, we measure the rarity of the 488 technology keywords present in a text corpus from 81,26...

Current research in text mining favours the quantity of texts over their quality. But for bilingual terminology mining, and for many language pairs, large comparable corpora are not available. More importantly, as terms are defined vis-à-vis a specific domain with a restricted register, it is expected that the quality rather than the quantity of the corpus matters more in terminology mining. Ou...

During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R. We give a survey on text mining facilities in R and explain how typical application tasks can be carried out using our framework. We present techniques for count-based analysis metho...