Natural language processing applied to artificial intelligence
DOI:
https://doi.org/10.25746/ruiips.v9.i4.26213Keywords:
Artificial Intelligence, Stylometry, Machine Learning, Natural Language ProcessingAbstract
This article aims to present the topic called "Natural language processing applied to artificial intelligence". Its objectives are to disseminate the following items: Concepts, namely the Bayes Theorem, Jaccard Index, Matplotlib, NLP, and tools such as NLTK; "Chi-Square", "NumPy" - where will be addressed the definition of each; "SpaCy" – where the concepts inherent to this package will be explained. For this purpose, the bibliographic review was used for the research of articles related to the example inherent to the processing of natural language with "Machine Learning", and an example of a Stylometry algorithm performed within the artificial intelligence curricular unit, taught by Professor Artur Marques, was used.

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