https://oldena.lpnu.ua/handle/ntb/45487| Title: | Machine learning text classification model with NLP approach |
| Authors: | Razno, Maria |
| Affiliation: | National Technical University "Kharkiv Polytechnic Institute" |
| Bibliographic description (Ukraine): | 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). |
| Bibliographic description (International): | Razno M. Machine learning text classification model with NLP approach / Maria Razno // Computational Linguistics and Intelligent Systems. — 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). |
| Is part of: | Computational Linguistics and Intelligent Systems (2), 2019 |
| Journal/Collection: | Computational Linguistics and Intelligent Systems |
| Volume: | 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019 |
| Issue Date: | 18-Apr-2019 |
| Publisher: | Lviv Politechnic Publishing House |
| Place of the edition/event: | Lviv |
| Keywords: | Machine learning Python Pandas Text classification NLP NLTK Scikit-learn Artificial Intelligence Python Library Deep Learning Texts |
| Number of pages: | 3 |
| Page range: | 71-73 |
| Start page: | 71 |
| End page: | 73 |
| 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/45487 |
| ISSN: | 2523-4013 |
| Copyright owner: | © 2019 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors. |
| URL for reference material: | https://github.com/cmasch/cnn-text-classification,24/02/2019 |
| References (International): | 1. Langley, P.: Human and machine learning.Machine Learning,1, pp. 243–248 (1986) 2. Masch, C.: Text classification with Convolution Neural Net-works on Yelp, IMDB & sentence polarity dataset, https://github.com/cmasch/cnn-text-classification,24/02/2019. 3. Moschitti, A., Basili, R.: Complex Linguistic Features for Text Classification: A Comprehensive Study. In: Lecture Notes in Computer Science vol. 2997, pp. 181-196, Springer Science + Business Media (2004) |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2019 р. |
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