Approaching into a new area of research requires a tremendous energy and enthusiasm from researchers due to a high amount of research papers, articles, and citing sources along with numerous fields of interest spread across the database. Even finding the suitable and sufficient research materials such as conference papers or journals is one of the critical abilities, but this requires years of experience. With the tools such as, Google Scholar Search Engine and journals’ library, researchers perform more thoroughly with selecting papers related to their works but still, skimming and browsing through the abstract or even an entire paper is an extremely time-consuming task. With Natural Language Processing (NLP) combining with Machine Learning, the task of comparing between the selected papers and the desire field of interest might be significantly improved.
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