Publications by authors named "Amirreza Fazely Hamedani"
Article Synopsis
- KnowVID-19 is a knowledge-based system designed to help medical researchers efficiently extract and categorize information from online medical literature, using machine learning tools for improved data extraction.
- It employs a keyword-based text classification system and specific techniques (RAKE, YAKE, KeyBERT) to organize research data into topics and subtopics, enhancing the relevance of search results for user queries.
- The platform features an interactive web application with visual network representations of key terms, allowing researchers to track emerging trends in COVID-19 research through an intuitive, user-friendly interface.
Understanding published unstructured textual data using traditional text mining approaches and tools is becoming a challenging issue due to the rapid increase in electronic open-source publications. The application of data mining techniques in the medical sciences is an emerging trend; however, traditional text-mining approaches are insufficient to cope with the current upsurge in the volume of published data. Therefore, artificial intelligence-based text mining tools are being developed and used to process large volumes of data and to explore the hidden features and correlations in the data.
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