ISBN:
9783658367299
Language:
English
Pages:
1 online resource (303 pages)
Series Statement:
Sustainable Management, Wertschöpfung und Effizienz Series
Parallel Title:
Erscheint auch als
DDC:
302.2310723
Keywords:
Mass media-Influence
;
Electronic books
;
Hochschulschrift
;
Electronic books
Abstract:
Intro -- Acknowledgements -- Abstract -- Introductory Remarks -- Contents -- Abbreviations -- List of Figures -- List of Tables -- Part I State of the Field -- 1 Approaching Media Influence and its Mechanisms -- 1.1 Agenda Setting, Biases, and Tendentious and Fake News in the Media -- 1.2 The Influence of Media Reporting on Public Opinions -- 1.3 Media Influence on Consumers and Customers -- 1.4 Media Influence on Businesses -- 2 Connections and Relationships in Europe and Worldwide and their Impact -- 2.1 Social Relations Regarding the Movement of Goods, Services, and Capital and Potential Effects -- 2.2 Connections within the Movement of Labour and Potential Implications -- 2.3 Relationships Measured by Support of the EU by its Citizens -- 2.4 Media Influence on International Social Relationships -- 3 Approaching Tourism as a Driver for Research on International Relations -- 3.1 Current Tourism Demand Forecasting Techniques -- 3.2 Tourism Demand Forecasting in Online and Social Media -- 3.3 Machine Learning and Artificial Neural Networks in Tourism -- 4 Sentiment Analysis as a New Source of Information -- 4.1 Forecasting, Nowcasting, and Hidden Correlations Explored with Sentiment Analysis -- 4.2 Sentiment Analysis to Reveal and Explore Macroeconomic Phenomena -- 4.3 Sentiment Analysis in the Context of Business Administration -- 5 Technical Aspects of Sentiment Analysis of Online News Sources -- 5.1 Large-scale Retrieval of Big Data -- 5.2 Different Approaches of Computer-Based Sentiment Analysis -- 5.3 Insights into a Deeper Understanding of the Underlying Texts and Algorithms -- Part II Research on Online Media and the Impact on Consumers, Businesses and Society -- 6 Methodology and Research Design -- 6.1 Information Retrieval -- 6.2 Artificial Neural Network Sentiment Analysis -- 6.3 Sentiment Index Building.
Note:
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URL:
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