Summary and Info
Text mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it 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.
More About the Author
The Rural Municipality of Rhineland is a former rural municipality (RM) in the Canadian province of Manitoba.
Review and Comments
Rate the Book
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data 0 out of 5 stars based on 0 ratings.