Abstract
In recent years, the Internet has tended to speed up the publication of opinions on almost every topic. The volume of published texts results in a huge amount of data that the average Internet user is not able to analyze. At the same time, it can be observed that a very important topic that is becoming increasingly popular on the web is drugs and pharmaceuticals. Taking these two facts into account, we can assume that the customer of websites providing and reviewing medical and pharmaceutical services and products is also becoming a victim of information overload. In this situation, artificial intelligence solutions become helpful. Thanks to modern solutions, an appropriate algorithm is able to perform Opinion Mining, that is, analyze a significant amount of texts, posts and opinions and then aggregate their content into a form suitable for the average person. The following article shows how novel methods of Machine Learning are able to perform analysis of texts in polish language related to the medical and pharmaceutical industries, and then extract key information on a given topic.
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Dziczkowski, G., Madyda, G. (2023). Initial Approach to Pharmaceutical Opinion Search in Polish Language. In: Nguyen, N.T., et al. Advances in Computational Collective Intelligence. ICCCI 2023. Communications in Computer and Information Science, vol 1864. Springer, Cham. https://doi.org/10.1007/978-3-031-41774-0_15
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