What Causes Different Sentiment Classification on Social Network Services? Evidence from Weibo with Genetically Modified Food in China
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- Xi Lu & Xiaofei Xie & Ji Xiong, 2015. "Social trust and risk perception of genetically modified food in urban areas of China: the role of salient value similarity," Journal of Risk Research, Taylor & Francis Journals, vol. 18(2), pages 199-214, February.
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- Nofer, Michael & Hinz, Oliver, 2015. "Using Twitter to Predict the Stock Market: Where is the Mood Effect?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77140, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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- Michael Nofer & Oliver Hinz, 2015. "Using Twitter to Predict the Stock Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(4), pages 229-242, August.
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- Chun-Chieh Ma & Han-Shen Chen & Hsiao-Ping Chang, 2020. "Crisis Response and Supervision System for Food Security: A Comparative Analysis between Mainland China and Taiwan," Sustainability, MDPI, vol. 12(7), pages 1-13, April.
- Taesoo Cho & Taeyoung Cho & Guosong Zhao & Hao Zhang, 2020. "The Impact of South Korea Golf Resort Social Network Services Advertising and Online Word of Mouth on Consumer Brand Value," Sustainability, MDPI, vol. 12(11), pages 1-13, May.
- Marcela Korenkova & Milan Maros & Michal Levicky & Milan Fila, 2020. "Consumer Perception of Modern and Traditional Forms of Advertising," Sustainability, MDPI, vol. 12(23), pages 1-25, November.
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Keywords
information systems; genetic modification; sentiment classification; logistic regression; China; sustainable development;All these keywords.
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