Ontology-Based Social Media Talks Topic Classification (Twitter Case)

https://doi.org/10.22146/ijitee.46534

Fransisca Julia Kusuma Deviyanti(1), Sri Suning Kusumawardani(2*), Paulus Insap Santosa(3)

(1) Universitas Gadjah Mada
(2) Universitas Gadjah Mada
(3) Universitas Gadjah Mada
(*) Corresponding Author

Abstract


In the era of digital communication, the use of Twitter as a customer service has been widely encountered. Companies have started to develop strategies around effective use of Twitter, one of which was to identify problems that customers frequently complain about. Twitter, with its straightforward tweet characteristics, will certainly contain sentences with very specific and easily recognizable keywords. These characteristics can be used as a basis for classifying tweets into certain topics. With a help of ontology, classification with keywords can be done automatically. The purpose of this paper is to design an ontology used as a basis for classifying tweets into certain topics related to the 4G telecommunications network in Indonesia and to evaluate performance of proposed classifier model.

Keywords


Topic Classification, Twitter, Look-up Ontology

Full Text:

PDF


References

E. Rahmawati and Sanaji, “Pengaruh Customer Engagement Terhadap Kepuasan Pelanggan dan Kepercayaan Merek serta Dampaknya pada Loyalitas Merek,” J. Res. Econ. Manag., Vol. 15, pp. 246–261, 2015.

M. Allahyari, K.J. Kochut, and M. Janik, “Ontology-based Text Classification into Dynamically Defined Topics,” IEEE Int. Conf. Semant. Comput., 2014, pp. 273–278.

P.W. Basnur and D. Indra, “Pengklasifikasian Otomatis Berbasis Ontologi untuk Artikel Berita Berbahasa Indonesia,” Vol. 14, No. 1, pp. 29–35, 2010.

D.L.C.S. Carlos and C.H. Paola, “Extraction and Classification of Twitter Messages to Apply in Business Intelligence,” Lect. Notes Softw. Eng., Vol. 1, No. 2, pp. 126–130, 2013.

K.E. Saputro, S.S. Kusumawardani, and S. Fauziati, “Pengembangan Metode Ekstraksi Informasi Berbasis Ontologi untuk Pengenalan Named-Entities dari Halaman Web Tidak Terstruktur,” Thesis, Universitas Gadjah Mada, Yogyakarta, Indonesia, 2017.

E. Susanti, “Ekstraksi Informasi Konten Web Menggunakan Pendekatan Berbasis Ontologi,” Jurnal Teknologi Technoscientia, Vol. 7, No. 2, pp. 128-136, 2015.

T.R. Gruber, “A Translation Approach to Portable Ontology Specifications,” Knowl. Acquis., Vol. 5, No. 2, pp. 199–220, Jun. 1993.

S.S. Kusumawardani, R.S. Prakoso, and P.I. Santosa, “Using Ontology for Providing Content Recommendation Based on Learning Styles inside E-learning,” Proc. - 2nd Int. Conf. Artif. Intell. Model. Simulation (AIMS 2014), 2014, pp. 276–281.

H. Jayadianti, L.E. Nugroho, P.I. Santosa, W. Widayat, and C.S. Pinto, “Ontology sebagai Solusi Pencarian Makna Ambigu dalam Sistem yang Heterogen,” Telematika, Vol. 10, No. 1, pp. 63–70, 2013.

Z. Ma and H. Wang, The Semantic Web for Knowledge and Data Management: Technologies and Practices. Hong Kong: IGI Global, 2008.

(2016) “Protégé.” [Online], http://protege.stanford.edu/products.php, access date: 14-Feb-2017.



DOI: https://doi.org/10.22146/ijitee.46534

Article Metrics

Abstract views : 1710 | views : 1141

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2019 IJITEE (International Journal of Information Technology and Electrical Engineering)

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

ISSN  : 2550-0554 (online)

Contact :

Department of Electrical engineering and Information Technology, Faculty of Engineering
Universitas Gadjah Mada

Jl. Grafika No 2 Kampus UGM Yogyakarta

+62 (274) 552305

Email : ijitee.ft@ugm.ac.id

----------------------------------------------------------------------------