Text Mining for Central Banks

Competitive Intelligence Text Mining: Words Speak

Competitive intelligence (CI) has become one of the major subjects for researchers in recent years. The present research is aimed to achieve a part of the CI by investigating the scientific articles on this field through text mining in three interrelated steps. In the first step, a total of 1143 articles released between 1987 and 2016 were selected by searching the phrase "competitive intellige...

Leveraging Unstructured Text Data for Banks

Banks have volumes of unstructured text data related to customers, businesses, processes and employee engagement which are a source of insights to generate more business, retain customers, improve productivity and enable effective decision making. This paper provides an imperative for adopting unstructured data mining by providing some use cases and examples. It delves into some unstructured da...

Text Mining for Biomedicine

Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United...

Text Mining for Safety

Mining Text Data Mining Text Data

Clustering is a widely studied data mining problem in the text domains. The problem finds numerous applications in customer segmentation, classification, collaborative filtering, visualization, document organization, and indexing. In this chapter, we will provide a detailed survey of the problem of text clustering. We will study the key challenges of the clustering problem, as it applies to the...