Practical text mining and statistical analysis for non-structured text data applications
"The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can b...
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| Співавтор: | |
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| Інші автори: | |
| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
Amsterdam :
Academic Press,
2012.
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| Редагування: | 1st ed. |
| Предмети: | |
| Онлайн доступ: | An electronic book accessible through the World Wide Web; click to view |
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Зміст:
- Machine generated contents note: Preface: What is TM and what it can do for you Introduction: How to use this book, and chapter summaries Part I: History, Process and Applications of Text Mining; Part II: Tutorials Part III: Areas of Technical Focus in Text Mining Part V: Text Mining Practice and Prospect: The Right Model for the Right Purpose, Summary, and the Future of TM.