Matsumoto, Kazuyuki Tokushima University Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Tsuchiya, Seiji Doshisha University
Kojima, Takumi Tokushima University
Kondo, Hiroya Sharp Corporation
Yoshida, Minoru Tokushima University Tokushima University Educator and Researcher Directory KAKEN Search Researchers
Kita, Kenji Tokushima University Tokushima University Educator and Researcher Directory KAKEN Search Researchers
This paper provides the classification of the review texts on a smartphone application posted on social media. We propose a high performance binary classification method (positive/negative) of review texts, which uses the bidirectional long short-term memory (biLSTM) self-attentional Transformer and is based on the distributed representations created by unsupervised learning of a manually labelled small review corpus, dictionary, and an unlabeled large review corpus. The proposed method obtained higher accuracy as compared to the existing methods, such as StarSpace or the Bidirectional Encoder Representations from Transformer (BERT).
International Journal of Machine Learning and Computing
© 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)(https://creativecommons.org/licenses/by/4.0/).
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ijmlc_10_1_148.pdf 21.1 MB
Science and Technology