https://oldena.lpnu.ua/handle/ntb/45487
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Razno, Maria | |
dc.date.accessioned | 2019-10-31T13:21:02Z | - |
dc.date.available | 2019-10-31T13:21:02Z | - |
dc.date.created | 2019-04-18 | |
dc.date.issued | 2019-04-18 | |
dc.identifier.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). | |
dc.identifier.issn | 2523-4013 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/45487 | - |
dc.description.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. | |
dc.format.extent | 71-73 | |
dc.language.iso | en | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Computational Linguistics and Intelligent Systems (2), 2019 | |
dc.relation.uri | https://github.com/cmasch/cnn-text-classification,24/02/2019 | |
dc.subject | Machine learning | |
dc.subject | Python | |
dc.subject | Pandas | |
dc.subject | Text classification | |
dc.subject | NLP | |
dc.subject | NLTK | |
dc.subject | Scikit-learn | |
dc.subject | Artificial Intelligence | |
dc.subject | Python Library | |
dc.subject | Deep Learning Texts | |
dc.title | Machine learning text classification model with NLP approach | |
dc.type | Article | |
dc.rights.holder | © 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. | |
dc.contributor.affiliation | National Technical University "Kharkiv Polytechnic Institute" | |
dc.format.pages | 3 | |
dc.identifier.citationen | 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). | |
dc.relation.referencesen | 1. Langley, P.: Human and machine learning.Machine Learning,1, pp. 243–248 (1986) | |
dc.relation.referencesen | 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. | |
dc.relation.referencesen | 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) | |
dc.citation.journalTitle | Computational Linguistics and Intelligent Systems | |
dc.citation.volume | 2 : Proceedings of the 3nd International conference, COLINS 2019. Workshop, Kharkiv, Ukraine, April 18-19, 2019 | |
dc.citation.spage | 71 | |
dc.citation.epage | 73 | |
dc.coverage.placename | Lviv | |
Appears in Collections: | Computational linguistics and intelligent systems. – 2019 р. |
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