{"product_id":"sas-text-analytics-for-business-applications-concept-rules-for-information-extraction-models-paperback","title":"SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eTeresa Jade\u003c\/b\u003e (Author), \u003cb\u003eBiljana Belamaric-Wilsey\u003c\/b\u003e (Author), \u003cb\u003eMichael Wallis\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eExtract actionable insights from text and unstructured data.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. \u003ci\u003eSAS(R) Text Analytics for Business Applications: Concept Rules for Information Extraction Models\u003c\/i\u003e focuses on this key element of natural language processing (NLP) and provides real-world guidance on the effective application of text analytics. \u003c\/p\u003e\u003cp\u003e Using scenarios and data based on business cases across many different domains and industries, the book includes many helpful tips and best practices from SAS text analytics experts to ensure fast, valuable insight from your textual data. \u003c\/p\u003e\u003cp\u003e Written for a broad audience of beginning, intermediate, and advanced users of SAS text analytics products, including SAS(R) Visual Text Analytics, SAS(R) Contextual Analysis, and SAS(R) Enterprise Content Categorization, this book provides a solid technical reference. You will learn the SAS information extraction toolkit, broaden your knowledge of rule-based methods, and answer new business questions. As your practical experience grows, this book will serve as a reference to deepen your expertise.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 308\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.65 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 26, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48416987545849,"sku":"9781635266641","price":129.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/dT_XpNHRxK9781635266641.webp?v=1779109111","url":"https:\/\/bookscloud.io\/products\/sas-text-analytics-for-business-applications-concept-rules-for-information-extraction-models-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}