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An evaluation of machine learning and latent semantic analysis in text sentiment classification Cover

An evaluation of machine learning and latent semantic analysis in text sentiment classification

Technical Transactions
Volume 117 (2020): Issue 1 (January 2020)
By: Justyna Miazga and  Tomasz Hachaj  
Open Access
|Oct 2020

Authors

Justyna Miazga

justyna.miazga@up.krakow.pl

Institute of Computer Science, Pedagogical University of Cracow

Tomasz Hachaj

tomekhachaj@o2.pl

Institute of Computer Science, Pedagogical University of Cracow
DOI: https://doi.org/10.37705/TechTrans/e2020030 | Journal eISSN: 2353-737X | Journal ISSN: 0011-4561
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Language: English
Submitted on: Jun 20, 2020
Accepted on: Sep 22, 2020
Published on: Oct 1, 2020
Published by: Cracow University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
sentiment analysis,
machine learning,
sentiment classification,
K-nearest neighbours,
neural network,
support vector machine
Related subjects:
Architecture and design,
Architecture,
Architects, buildings,
Engineering,
Mechanical engineering,
Mechanics,
Industrial chemistry,
Chemical engineering,
Materials sciences,
Materials sciences, other

© 2020 Justyna Miazga, Tomasz Hachaj, published by Cracow University of Technology
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.

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