Articles by Normand Peladeau
Taming Unstructured Data with Text Analytics
It is today widely recognized that the vast majority of information in any business is unstructured data, typically in text format such as reports, filled forms, emails, memos, log entries, transcripts, etc. Most of the time, this rich source of information remains untapped—sometimes because companies are not fully aware of its potential value, more often because of the tremendous effort it takes to sift and dig out information manually from such large volumes. Text mining provides a viable solution. By combining natural language processing, statistical and machine learning techniques, text mining can quickly extract useful information from large collections of documents . . . .