Text Mining and Visualization ─ Case Studies Using Open-Source Tools
商品資訊
商品簡介
This introductory book for text and web mining utilizes only open source tools to illustrate and teach unique use case applications. Each use case consists of a fully implemented application based on a real text/web mining example. Data and clear instructions to implement the use case are provided in each chapter. Readers will investigate at least ten different tools such as R, RapidMiner, Knime, Natural Language Toolkit, Open NLP, GATE, Gephi, and ManyEyes to learn text visualization and novel techniques.
作者簡介
Markus Hofmann is a lecturer at the Institute of Technology Blanchardstown, where he focuses on the areas of data mining, text mining, data exploration and visualization, and business intelligence. Dr. Hofmann has also worked as a technology expert with 20 different organizations, such as Intel. He earned a PhD from Trinity College Dublin, an MSc in computing from the Dublin Institute of Technology, and a BA in information management systems.
Andrew Chisholm is a certified RapidMiner Master who created both basic and advanced RapidMiner video training content for RapidMinerResources.com. He has worked as a software developer, systems integrator, project manager, solution architect, customer-facing presales consultant, and strategic consultant. He earned an MSc in business intelligence and data mining from the Institute of Technology Blanchardstown and an MA in physics from Oxford University.
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