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《电子商务 E-business》阅读文献:Resource recommendation in social annotation systems A linear-weighted hybrid approach
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《电子商务 E-business》阅读文献:Reasonable tag-based collaborative filtering for social tagging systems
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《电子商务 E-business》阅读文献:improve research paper searching with social tagging
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《电子商务 E-business》阅读文献:Discovering Joint Research Topics based on Social Networks Using A
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《电子商务 E-business》阅读文献:Computing and Applying Trust in Web-based Social Networks
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《电子商务 E-business》阅读文献:Categorising social tags to improve folksonomy-based recommendations
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《高级Web技术》参考资料:Building Social Web Applications
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《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(习题,原书第4版)chapter 5 Predictive Analytics II:Text, Web, and Social Media Analytics
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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
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1.1 The social role of industrial plasma engineering 1.2 Important definitions 1.3 Plasma physics regimes and issues
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