Handbook of Research on Text and Web Mining Technologies: Volume I-II

Description: The massive daily overflow of electronic data to information seekers creates the need for better ways to digest and organize this information to make it understandable and useful. Text mining, a variation of data mining, extracts desired information from large, unstructured text collections stored in electronic forms. The Handbook of Research on Text and Web Mining Technologies is the first comprehensive reference to the state of research in the field of text mining, serving a pivotal role in educating practitioners in the field. This compendium of pioneering studies from leading experts is essential to academic reference collections and introduces researchers and students to cutting-edge techniques for gaining knowledge discovery from unstructured text. Coverage: The many academic areas covered in this publication include, but are not limited to: • Core text mining operations • Data mining techniques in text mining • Data preprocessing techniques • Emerging directions of text mining • Evaluation techniques of text mining • Information Extraction • Information Retrieval • Link analysis • Natural Language Processing (NLP) • Taxonomy of text mining • Text Categorization • Text clustering • Text mining applications • Text mining case studies • Visualization approaches.