IBM Watson Content Analytics: discovering actionable insight from your content
This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers usi...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Poughkeepsie, NY
IBM Corp., International Technical Support Organization
2014
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| Ausgabe: | 3rd ed. |
| Schriftenreihe: | IBM redbooks
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/0738439428/?ar |
| Zusammenfassung: | This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, interfacing with IBM Cognos Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics."-- |
| Beschreibung: | Includes bibliographical references. - Online resource, title from cover page (Safari, viewed August 5, 2014) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 0738439428 9780738439426 |
Internformat
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| discipline | Informatik |
| edition | 3rd ed. |
| format | Electronic eBook |
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| spelling | IBM Watson Content Analytics discovering actionable insight from your content Wei-Dong (Jackie) Zhu [and others] Discovering actionable insight from your content 3rd ed. Poughkeepsie, NY IBM Corp., International Technical Support Organization 2014 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier IBM redbooks Includes bibliographical references. - Online resource, title from cover page (Safari, viewed August 5, 2014) This book covers key concepts in content analytics, such as facets, frequency, deviation, correlation, trend, and sentimental analysis. It describes the content analytics miner, and guides you on performing content analytics using views, dictionary lookup, and customization. The book also covers using IBM Content Analytics Studio for domain-specific content analytics, integrating with IBM Content Classification to get categories and new metadata, interfacing with IBM Cognos Business Intelligence (BI) to add values in BI reporting and analysis, and customizing the content analytics miner with APIs. In addition, the book describes how to use the enterprise search capability for the discovery and retrieval of documents using various query and visual navigation techniques, and customization of crawling, parsing, indexing, and runtime search to improve search results. The target audience of this book is decision makers, business users, and IT architects and specialists who want to understand and analyze their enterprise content to improve and enhance their business operations. It is also intended as a technical how-to guide for use with the online IBM Knowledge Center for configuring and performing content analytics and enterprise search with Content Analytics."-- IBM Watson Content Analytics Data mining Watson (Computer) Data Mining Exploration de données (Informatique) Watson (Ordinateur) Zhu, Wei-Dong Jackie MitwirkendeR ctb International Business Machines Corporation. International Technical Support Organization. MitwirkendeR ctb |
| spellingShingle | IBM Watson Content Analytics discovering actionable insight from your content IBM Watson Content Analytics Data mining Watson (Computer) Data Mining Exploration de données (Informatique) Watson (Ordinateur) |
| title | IBM Watson Content Analytics discovering actionable insight from your content |
| title_alt | Discovering actionable insight from your content |
| title_auth | IBM Watson Content Analytics discovering actionable insight from your content |
| title_exact_search | IBM Watson Content Analytics discovering actionable insight from your content |
| title_full | IBM Watson Content Analytics discovering actionable insight from your content Wei-Dong (Jackie) Zhu [and others] |
| title_fullStr | IBM Watson Content Analytics discovering actionable insight from your content Wei-Dong (Jackie) Zhu [and others] |
| title_full_unstemmed | IBM Watson Content Analytics discovering actionable insight from your content Wei-Dong (Jackie) Zhu [and others] |
| title_short | IBM Watson Content Analytics |
| title_sort | ibm watson content analytics discovering actionable insight from your content |
| title_sub | discovering actionable insight from your content |
| topic | IBM Watson Content Analytics Data mining Watson (Computer) Data Mining Exploration de données (Informatique) Watson (Ordinateur) |
| topic_facet | IBM Watson Content Analytics Data mining Watson (Computer) Data Mining Exploration de données (Informatique) Watson (Ordinateur) |
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