How can the application of new Industry 4.0 technologies, including new generations of artificial intelligence and computerised analytical Big Data Analytics platforms, improve the scale of automation of the processes of performing sentiment analysis on large datasets and information contained in publications included in online indexing databases of scientific and/or professional publications and in the bibliometric research carried out?
As the computing power of processors and the ability to process large and increasingly large data sets and information grows rapidly year on year thanks to technological advances, so also the sets of data and information, so also the possibilities for multi-criteria, automated analysis of large data sets on Big Data Analytics platforms, including the use of Industry 4.0 technologies, including machine learning, deep learning and artificial intelligence are also growing rapidly. Therefore, through the use of the aforementioned technologies, including artificial intelligence and Big Data Analytics, it is also possible to improve the processes of analysing the sentiment of large collections of publications and conducting semi-automated bibliometric research on large collections of publications, including scientific publications collected in online indexing databases of scientific publications. In view of the above, the application of new Industry 4.0 technologies, including new generations of artificial intelligence and computerised analytical Big Data Analytics platforms, may increase the scale of automation of the processes of conducting sentiment analysis on large sets of data and information contained in publications included in online indexing databases of scientific and/or professional publications and in the framework of bibliometric research carried out. The key determinants limiting the possibility of conducting multi-criteria analyses, including sentiment analyses of the content of multiple online publications, professional and/or scientific journals, in addition to technological limitations, include the issue of IT compatibility of Big Data Analytics platforms and the structural and technical conditions of online journal portals and online indexing databases of specific publications, including scientific publications.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the application of the new technologies of Industry 4.0, including new generations of artificial intelligence and computerised analytical Big Data Analytics platforms, increase the scale of automation of the processes of performing sentiment analysis on large datasets and information contained in publications included in online indexing databases of scientific and/or professional publications and in the bibliometric research carried out?
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Thank you very much,
Warm regards,
Dariusz Prokopowicz
One of the ways is by Improved accuracy: AI and Big Data analytics can analyze large volumes of data quickly and accurately, which is especially useful for sentiment analysis and bibliometric research. With the help of machine learning algorithms, AI systems can learn from data and improve their accuracy over time.
Digital technology would transform the world and ease doing business and ascertain justice
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