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《IBM WebSphere Application Server》教程:P04-Topology_Review
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《IBM WebSphere Application Server》教程:P02-WASv6_TechnicalOverview
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《IBM WebSphere Application Server》教程:P00-PresentationsCoverSheet
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《IBM WebSphere Application Server》教程:L08-WASv6_Service Integration and JMS
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《IBM WebSphere Application Server》教程:L06-WASv6_WLM_HA
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《IBM WebSphere Application Server》教程:L04-WASv6_WRD
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《IBM WebSphere Application Server》教程:L02-WASv6_Sys_Admin
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5.1 Describe text mining and understand the need for text mining 5.2 Differentiate among text analytics, text mining, and data mining 5.3 Understand the different application areas for text mining 5.4 Know the process of carrying out a text mining project 5.5 Appreciate the different methods to introduce structure to text-based data 5.6 Describe sentiment analysis 5.7 Develop familiarity with popular applications of sentiment analysis 5.8 Learn the common methods for sentiment analysis 5.9 Become familiar with speech analytics as it relates to sentiment analysis
文档格式:PPT 文档大小:1.26MB 文档页数:19
复旦大学:《管理信息系统 Management Information Systems》(英文版)课程PPT_PART I Introduction to the Concept of Information Systems in Business Session 5 Summary of IS Concept and Application Framework
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《复合材料 Composites》课程教学资源(学习资料)第五章 陶瓷基复合材料_Si3N4-application
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