This book discusses the topic of advanced text mining and applied principles in detail. Due to the development of computer and web technologies, we are now able to easily compile and store huge amounts of text data. It is believed that data consists of valuable knowledge. Text mining techniques have been dynamically analyzed for the extraction of knowledge from data since late 1990s. Even though many vital methods have been formulated, the text mining research field continues to expand for the needs emerging from distinct application fields. This book provides an introduction of advanced text mining techniques ranging from relation extraction to under or less resourced language. It aims at providing the readers with novel information about the field and assists them in exploring new research fields.
This book discusses the topic of advanced text mining and applied principles in detail. Due to the development of computer and web technologies, we are now able to easily compile and store huge amounts of text data. It is believed that data consists of valuable knowledge. Text mining techniques have been dynamically analyzed for the extraction of knowledge from data since late 1990s. Even though many vital methods have been formulated, the text mining research field continues to expand for the needs emerging from distinct application fields. This book provides an introduction of advanced text mining techniques ranging from relation extraction to under or less resourced language. It aims at providing the readers with novel information about the field and assists them in exploring new research fields.
Geophysics is a subject of natural science that deals with the physical processes and properties of the Earth and its atmosphere using quantitative methods for their analysis. It involves the...
This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.It is divided into twelve chapters...
This volume details step-by-step instructions on biomedical literature mining protocols. Chapters guide readers through various topics such as, disease comorbidity, literature-based discovery,...
Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R,...
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