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, observed and modelled variables, we develop a novel 'sector-product' approach and use text mining to provide further detail on …
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Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability … scalable over large volumes of text. We demonstrate that the method is useful for bibliographic analysis, transparent analysis … data from text with Machine Learning, we publish open-source resources: the software, a new public document corpus, and a …
Persistent link: https://www.econbiz.de/10013470898
Obtaining indicators on innovation activities of firms has been a challenge in economic research for a long time. The most frequently used indicators - R&D expenditure and patents - provide an incomplete picture as they represent inputs and throughputs in the innovation process. Output...
Persistent link: https://www.econbiz.de/10012888552
Obtaining indicators on innovation activities of firms has been a challenge in economic research for a long time. The most frequently used indicators - R&D expenditure and patents - provide an incomplete picture as they represent inputs and throughputs in the innovation process. Output...
Persistent link: https://www.econbiz.de/10013294682
The newest digital technologies – among them social media, mobility, analytics and cloud - keep changing how people, businesses and governments interact. These digital forces enable unprecedented levels of connectedness and so the world is already investing in consumer-centricity. However,...
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In the digital age, social media revolutionized human communication around the globe, yet also opened opportunities to unprecedentedly reap benefits from information sharing and big data generation. To this day completely undescribed remains that the implicit hidden persuasion opens a gate to...
Persistent link: https://www.econbiz.de/10012931467