Text Mining and Visualization: Case Studies Using Open Source Tools
Text Mining and Visualization: Case Studies Using Open Source Tools
- Boca Raton CRC Press Taylor & Francis Group 2016
- 297p
- Chapman & Hall/CRC Data Mining and Knowledge Discovery Series .
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
9780367575205
006.35 / TEX
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
9780367575205
006.35 / TEX