Text mining and visualization case studies using open-source tools
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, and Python
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| Other Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press
[2016]
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| Series: | Chapman & Hall/CRC data mining and knowledge discovery series
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| Subjects: | |
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| 020 | |a 9781482237573 (Hardback) | ||
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| 090 | |a QA 76.9.N38 |b T49 2016 | ||
| 245 | 0 | 0 | |a Text mining and visualization |b case studies using open-source tools |c edited by Markus Hofman, Andrew Chisholm |
| 264 | 1 | |a Boca Raton, FL |b CRC Press |c [2016] | |
| 264 | 4 | |c © 2016 | |
| 300 | |a xl, 297 pages, 10 unnumbered pages of plates |b illustrations |c 25 cm. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 490 | 1 | |a Chapman & Hall/CRC data mining and knowledge discovery series | |
| 500 | |a "A Chapman & Hall book" | ||
| 505 | 0 | |a I: RapidMiner; 1. RapidMiner for Text Analytic Fundamentals; 2. Empirical Zipf-Mandelbrot Variation for Sequential Windows within Documents; II: KNIME; 3. Introduction to the KNIME Text Processing Extension; 4. Social Media Analysis -- Text Mining Meets Network Mining; III: Python; 5. Mining Unstructured User Reviews with Python; 6. Sentiment Classification and Visualization of Product Review Data; 7. Mining Search Logs for Usage Patterns; 8. Temporally Aware Online News Mining and Visualization with Python; 9. Text Classification Using Python; IV: R. 10. Sentiment Analysis of Stock Market Behavior from Twitter Using the R Tool11. Topic Modeling; 12. Empirical Analysis of the Stack Overflow Tags Network | |
| 520 | |a 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, and Python | ||
| 592 | |a 32573 |b 6/12/2016 |c RM 358.80 |h Bookline | ||
| 650 | 0 | |a Natural language processing (computer science) | |
| 650 | 0 | |a Data mining | |
| 700 | 1 | |a Hofmann, Markus |c (Computer scientist) |e editor | |
| 700 | 1 | |a Chisholm, Andrew |d 1959- |e editor | |
| 830 | 0 | |a Chapman & Hall/CRC data mining and knowledge discovery series | |
| 999 | |a vtls000057117 |c 101694 |d 101694 | ||