Machine learning text classification model with NLP approach

Abstract

This article describes the relevance of the word processing task that is written in human language by the methods of Machine Learning and NLP approach, that can be used on Python programming language. It also portrays the concept of Machine Learning, its main varieties and the most popular Pythonpackages and libraries for working with text data using Machine Learning methods. The concept of NLP and the most popular python packages are also presented in the article. The machine learning classification model algorithm based on the text processing is introduced in the article. It shows how to use classification machine learning and NLP methods in practice.

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Keywords

Machine learning, Python, Pandas, Text classification, NLP, NLTK, Scikit-learn, Artificial Intelligence, Python Library, Deep Learning Texts

Citation

Razno M. Machine learning text classification model with NLP approach / Maria Razno // Computational Linguistics and Intelligent Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019. — P. 71–73. — (Student section).

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