Text mining and visualization : case studies using open-source tools /: case studies using open-source tools. (2016)

• Record Type: Book
• Further Information: Note: Edited by Markus Hofmann, Andrew Chisholm.
• Editors: (Computer scientist), Hofmann, Markus; Chisholm, Andrew
• Contents: RapidMiner; RapidMiner for Text Analytic Fundamentals; John Ryan; Empirical Zipf-Mandelbrot Variation for Sequential Windows within Documents; Andrew Chisholm KNIME; Introduction to the KNIME Text Processing Extension; Kilian Thiel ; Social Media Analysis — Text Mining Meets Network Mining; Kilian Thiel, Tobias Kötter, Rosaria Silipo, and Phil Winters Python; Mining Unstructured User Reviews with Python; Brian Carter; Sentiment Classification and Visualization of Product Review Data; Alexander Piazza and Pavlina Davcheva ; Mining Search Logs for Usage Patterns; Tony Russell-Rose and Paul Clough ; Temporally Aware Online News Mining and Visualization with Python; Kyle Goslin ; Text Classification Using Python; David Colton R ; Sentiment Analysis of Stock Market Behavior from Twitter Using the R Tool; Nuno Oliveira, Paulo Cortez, and Nelson Areal ; Topic Modeling; Patrick Buckley ; Empirical Analysis of the Stack Overflow Tags Network; Christos Iraklis Tsatsoulis
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2016
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 006.312; Data mining
• Languages: English
• ISBNs: 9781482237580
• Related ISBNs: 9781482237573
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.