Building COVID Knowledge Base from Medical Journals
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2021
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Natural Language Processing (NLP), a subfield of linguistics, computer science and artificial intelligence, is concerned with the interactions between computers and human language, particularly with how computers are programmed to process and interpret large quantities of natural language data. In the covid pandemic, many research articles are being published every day, and scientists and doctors are trying to figure out the cure for saving humanity. Unfortunately, it is pretty hard to keep updated with all of the research that is being published. Our approach is to extract essential information from the research articles and find a relation between the disease and its symptoms using the Word2vec model. We have preprocessed a large number of journal article’s abstracts and train them into Word2vec model in our work. After getting the words vectorial representation, we have visualized the data for finding significant relationships among the disease and their symptoms-related words.
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Electrical and Computer Engineering
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North South University