January 2016
Intermediate to advanced
337 pages
11h 50m
English
Content preview from Text Mining and Visualization
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xiv Contents
12.8 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285
12.9 Appendix: Data Acquisition & Parsing . . . . . . . . . . . . . . . . . . . . 290
Index 295
Foreword
Data analysis has received a lot of attention in recent years and the newly coined data
scientist is on everybody’s radar. However, in addition to the inherent crop of new buzz
words, two fundamental things have changed. Data analysis now relies on more complex
and heterogeneous data sources; users are no longer content with analyzing a few numbers.
They want to integrate data from different sources, scrutinizing data of diverse types. Almost
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