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 – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining – 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.
By use of sophisticated techniques now available from the science of Speech Pathology, we can now document, quantify, and critically analyze the surgeon's reconstructive efforts in the oral cavity. Using these methods, we have evaluated the neurotized lateral arm free flap in six patients receiving oral reconstruction. Two of these are reported in detail. This study has provided a protocol that results in the objective analysis of swallowing, articulation, and range of tongue motion and sensation. All of these tests can be routinely performed by a speech pathologist to document both operative performance as well as patient progress in speech and swallowing. It would appear that we have quantified evidence that the neurotized lateral arm free flap may represent a significant step forward in reducing the morbidity of total and subtotal glossectomy by providing a truly functional reconstruction.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.