Abstract:

The bibliographic analysis process in the world today faces a critical problem because of the fact that people lack reading habits. This happens because the bibliographies do not capture the attention of readers and in addition to having content that is too extensive, do not motivate their reading. This systematic literature review (SLR) was oriented to bibliographical analysis using machine learning with Python and natural language processing (NLP), and the collection and analysis of articles from different search engines, which helped to meet the determined objectives. Additionally, the information was used in the plotting of the statistical graphs. The research considers studies published between 2015 and 2020 obtained from various sources, making a total of 80 articles selected for publication and review; these contained the information necessary to answer the research questions. The obtained results were satisfactory thanks to the research conducted.