Text Mining and Visualization: Case Studies Using Open Source Tools

Contributor(s):

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery SeriesPublication details: CRC Press Taylor & Francis Group 2016 Boca RatonDescription: 297pISBN:

9780367575205

DDC classification:

006.35 TEX

List(s) this item appears in: R Books

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.35 TEX (Browse shelf(Opens below))	Available		C0000436

Total holds: 0

I: Rapidminer
1. RapidMiner for text analytic fundamentals
2. Empirical Zipf-mandelbrfrot 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 instructed user reviews with python
6. Sentiment classification and visualization of product review data
7. Mining search logs for usage patterns
8. Temporally a ware 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 Tool
11. Topic Modeling
12. Empirical Analysis of the Stack Overflow tags network

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