Books like Text mining by Mehran Sahami

An accessible guide to Natural Language Processing, teaching Python programming for text analysis and language technology applications such as predictive text, email filtering, summarization, and translation.

A comprehensive, classroom-tested guide to information retrieval, covering classical and web-based techniques, text classification, clustering, system design, evaluation, and machine learning applications.

Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection CfI a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining CfI also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

May 2017: First Edition Revision History for the First Edition 2017-05-09: First Release 2017-06-23: Second Release 2018-05-11: Third Release

The book is based on Stanford Computer Science course CS246: Mining Massive Datasets (and CS345A: Data Mining).