Titlebook: Sustainable Development and CSR in China; A Multi-Perspective René Schmidpeter,Hualiang Lu,Haifeng Huang Book 2015 Springer International

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書目名稱Sustainable Development and CSR in China影響因子(影響力)




書目名稱Sustainable Development and CSR in China影響因子(影響力)學(xué)科排名




書目名稱Sustainable Development and CSR in China網(wǎng)絡(luò)公開度




書目名稱Sustainable Development and CSR in China網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Sustainable Development and CSR in China被引頻次




書目名稱Sustainable Development and CSR in China被引頻次學(xué)科排名




書目名稱Sustainable Development and CSR in China年度引用




書目名稱Sustainable Development and CSR in China年度引用學(xué)科排名




書目名稱Sustainable Development and CSR in China讀者反饋




書目名稱Sustainable Development and CSR in China讀者反饋學(xué)科排名

avarice

René Schmidpeter,Christopher Stehrstems (CMS) is discussed by seven experts from industry and Content Management Systems (CMSs) are used in almost every industry by millions of end-user organizations. In contrast to the 90s, they are no longer used as isolated applications in one organization but they support critical core operation

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follicle

藐視

ordain

歌曲

Stanis?aw Marciniakbeen developed to support various kinds of applications. In this paper, we propose the CASIA-KB, a Chinese semantic knowledge base built from various Web resources. CASIA-KB utilizes Semantic Web and Natural Language Processing techniques and mainly focuses on declarative knowledge. Most of the know

lambaste

fertilizer

Stanis?aw Strzelczakbeen developed to support various kinds of applications. In this paper, we propose the CASIA-KB, a Chinese semantic knowledge base built from various Web resources. CASIA-KB utilizes Semantic Web and Natural Language Processing techniques and mainly focuses on declarative knowledge. Most of the know

nascent

Benjamin E. Jakob,Christopher Stehrwhere rules may be constructed based on the observations on the lexicons as well as the output from natural language processing tools. In this paper, the experiments to transform labelled datasets by using NLP tools and subsequently performing sentiment analysis via statistical learning algorithms a