Applying Text Mining on Electronic Messages for Competitive Intelligence

This paper presents how text -mining techniques can be used to analyze an enterprise’s external environment searching for competitors, related products and services, marketing strategies and customers’ opinions. A case study, using the UNCTAD Electronic Trading Opportunities (ETO) System, is presented. The ETO system enables “Trade Points” and trade-related bodies to exchange information by e-mail, offering an enormous trade potential and opportunities for small and medium-sized enterprises. As the efficiency of the ETO System is limited, since the volume of circulating messages is very large and the selection and manipulation of this amount of messages surpasses the human analytical limit, we use text -mining tools to support the process. The described strategy uses domain knowledge to extract concepts from the texts. After the concepts are extracted, a mining tool searches for patterns in concept distributions and correlations. Many kinds of analyses can be performed on the r...

• Type: Conference
• Year: 2004
• Where: ecweb
• Authors: José Palazzo Moreira de Oliveira, Stanley Loh, Leandro Krug Wives, Rui Gureghian Scarinci, Daniela Leal Musa, Lydia Silva Muñoz, Christian Zambenedetti
• Keywords: ECommerce, ECWEB 2004, Enterprise’s External Environment, Text -mining, Text -mining Techniques