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Analysis of scientific production based on trending research topics. An Artificial Intelligence case study

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URI: https://hdl.handle.net/10016/33554
ISSN: 0210-0614
DOI: https://doi.org/10.3989/redc.2019.1.1583
UXXI: AR/0000023365
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analysis_REDC_2019.pdf (1.94 MB)
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2019-03-30
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Abstract
Scientific Documentation Research Leads To The Computation Of Large Amounts Of Information From Published Works Of The Scientific Community. It Is Necessary To Explain These Processes And Create Application Frameworks. This Paper Provides The Following: A) An Information System Designed To Extract Scientific Information From Published Papers, B) Accurate Explanations Of The Main Processing Stages Including Data Mining, Natural Language Processing, And Machine Learning, And C) Categorized And Explained Results Coming From The Artificial Intelligence Case Study. The Results In This Paper Include The Following: A) Topics And Research Area Rankings And B) Quantity Versus Quality Comparisons Of Topics And Research Areas.
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research topics, scientific production, scientific documentation, machine learning, data mining, natural language processing, artificial intelligence trends, scopus, articles
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Bobadilla, J.; Gutiérrez, A.; Patricio, M. A.; Bojorque, R. X. (2019). Analysis of scientific production based on trending research topics. An Artificial Intelligence case study. Revista Española de Documentación Científica, 42 (1): e228. https://doi.org/10.3989/redc.2019.1.1583
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