Currently, there is considerable interest in integrating the extracted information in a retrieval system, due to increased demand for search engines that return precise answers to flexible information questions. This algorithm describes most of the past and present success and its application in various domains (eg, news filtering, biomedical text mining, gathering intelligence, competitive intelligence, legal information searching, and processing of informal text). An important part discusses current statistical and machine learning algorithms for detection and classification of information and integrate their results in probabilistic retrieval models. The book also reveals a number of ideas to advance the understanding and synthesis of text content. This book is intended for researchers and software developers interested in information extraction and retrieval, but many illustrations and real-life examples make it also suitable as a handbook for students.