Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2064
Title: Sentiment classification of Sinhala content in social media
Authors: Jayasuriya, P
Ekanayake, S
Munasinghe, R
Munasinghe, B
Weerasinghe, I
Thelijjagoda, S
Keywords: Sentiment classification
Sinhala content
social media
Issue Date: 24-Sep-2020
Publisher: IEEE
Citation: P. Jayasuriya, S. Ekanayake, R. Munasinghe, B. Kumarasinghe, I. Weerasinghe and S. Thelijjagoda, "Sentiment classification of Sinhala content in social media," 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2020, pp. 136-141, doi: 10.1109/SCSE49731.2020.9313023.
Series/Report no.: 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE);Pages 136-141
Abstract: In this study, we focus on the classification of Sinhala social media sentiments into positive and negative classes for a particular domain (sports). We have employed machine learning algorithms and lexicon-based sentiment classification methods. We also consider a hybrid approach by constructing an ensemble classifier in which we combine Machine Learning and Lexicon based methods. For individual methods, machine learning algorithms performed best in terms of accuracy. The ensemble classifier was able to improve performance further.
URI: http://rda.sliit.lk/handle/123456789/2064
ISSN: 2613-8662
Appears in Collections:Department of Information Management-Scopes
Research Papers
Research Papers - Dept of Information of Management
Research Papers - SLIIT Staff Publications

Files in This Item:
File Description SizeFormat 
Sentiment_classification_of_Sinhala_content_in_social_media.pdf
  Until 2050-12-31
378.83 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.