Sarcasm Detection For Sentiment Analysis in Indonesian Tweets
Yessi Yunitasari(1*), Aina Musdholifah(2), Anny Kartika Sari(3)
(1) Master Program of Computer Science; FMIPA UGM, Yogyakarta
(2) Department of Computer Science and Electronics, FMIPA UGM, Yogyakarta
(3) Department of Computer Science and Electronics, FMIPA UGM, Yogyakarta
(*) Corresponding Author
Abstract
Keywords
Full Text:
PDFReferences
[1] Pandey, “Twitter-sentiment-analysis-using-hybrid-cuckoo-search-method”, Elsevier, 2017[Online].Available:https://www.researchgate.net/publication/314510089_Twitter_sentiment_analysis_using_hybrid_cuckoo_search_method [Accessed: 18-Agustus-2017]
[2] M. Bouazizi and T. Ohtsuki, “Sarcasm detection in twitter” IEEE. 1–6, 2015 [Online]. Available:https://www.researchgate.net/publication/306524590_A_PatternBased_Approach_for_Sarcasm_Detection_on_Twitter[Accessed: 8-Nov-2017]
[3] Zhang and Gao., “Performance Analysis and Improvement of Naïve Bayes in Text Classification Application ” IEEE. 1–6, 2013 [Online]. Available: https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6775580&punumber%3D6775580%26filter%3DAND%28p_IS_Number%3A6784688%29%26pageNumber%3D5&pageNumber=6[Accessed: 8-Jan-2018]
[4] Maynard and Greenwood, “Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis.,” Lrec, pp. 4238–4243, 2014 [Online]. Available: https://gate.ac.uk/sale/lrec2014/arcomem/sarcasm.pdf[Accessed: 1-Jan-2018]
[5] E. Lunando and A. Purwarianti , “Indonesian social media sentiment analysis with sarcasm detection,” 2013 Int. Conf. Adv. Comput. Sci. Inf. Syst. ICACSIS 2013, pp. 195–198, 2013 [Online]. Available: https://www.semanticscholar.org/paper/Indonesian-social-media-sentiment-analysis-with-Lunando Purwarianti/c82b544f6f43c69bd0b0bf58f4b963f6c4f31377 [Accessed: 23-Jan-2018]
[6] M. V. Datla, “Bench marking of classification algorithms: Decision Trees and Random Forests-a case study using R,” Int. Conf. Trends Autom. Commun. Comput. Technol. I-TACT 2015, 2016 [Online]. Available:https://www.scopus.com/record/display.uri?eid=2-s2.0-84979282682&origin=inward&txGid=45c76f2dcf97f506cbcafd87959e7f31[Accessed: 18-Nov-2018]
[7] Suswanto, “Analisis Perbandingan Metode Machine Learning untuk Prediksi Khasiat Jamu” , pp. 1–7, 2016 [Online]. Available: https://scholar.google.com/citations?user=NzAuocoAAAAJ&hl=id [Accessed: 15-Nov-2018]
[8] Fariz Prawira, “Pengaruh Pendeteksian Sarkasme Terhadap Ukuran Kualitas Analisis Sentimen Pada Twitter”, Jurusan Matematika FMIPA Universitas Gadjah Mada, Yogyakarta, 2017.
[9] C. Manning, P. Raghavan, and H. Schutze, “An Introduction to Information Retrieval,” Inf. Retr. Boston., no. c, pp. 1–18, 2009 [Online]. Available: https://nlp.stanford.edu/IR-book/pdf/irbookonlinereading.pdf[Accessed: 6-Okt-2017]
[10] M. Habibi, “Analisis Sentimen Dan Klasifikasi Komentar Mahasiswa Pada Sistem Evaluasi Pembelajaran Menggunakan Kombinasi Knn Berbasis Cosine Similarity Dan Supervised Model”, Tesis, Program Studi S2 Ilmu Komputer, Departemen Ilmu Komputer dan Elektronika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Gadjah Mada Yogyakarta, 2017.
DOI: https://doi.org/10.22146/ijccs.41136
Article Metrics
Abstract views : 9972 | views : 6844Refbacks
- There are currently no refbacks.
Copyright (c) 2019 IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats1