Open access Jurnal SINTA 1
Twitter Sentiment Analysis on 2013 Curriculum Using Ensemble Features and K-Nearest Neighbor
International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 6 (2018)
- ISSN
- 2088-8708, 2088-8708
- Published
- 2018-12-01
- Publisher
- Institute of Advanced Engineering and Science
Abstract
2013 curriculum is a new curriculum in the Indonesian education system which has been enacted by the government to replace KTSP curriculum. The implementation of this curriculum in the last few years has sparked various opinions among students, teachers, and public in general, especially on social media twitter. In this study, a sentimental analysis on 2013 curriculum is conducted. Ensemble of several feature sets were used twitter specific features, textual features, Parts of Speech (POS) features, lexicon based features, and Bag of Words (BOW) features for the sentiment classification using K-Nearest Neighbor method. The experiment result showed that the the ensemble features have the best performance of sentiment classification compared to only using individual features. The best accuracy using ensemble features is 96% when k=5 is used.
Collaboration network of the authors
19 authors · 45 co-authorship links · 15 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Institut Teknologi Sepuluh Nopember
- Indonesian Institute of Sciences
- National Research and Innovation Agency
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Ahmad Afif Supianto | University of Brawijaya | 2 |
| Fitri Utaminingrum | University of Brawijaya | 2 |
| Hurriyatul Fitriyah | University of Brawijaya | 2 |
| Rizal Maulana | University of Brawijaya | 2 |
| Randy Cahya Wihandika | University of Brawijaya | 2 |
| Dahnial Syauqy | University of Brawijaya | 2 |
| Dwi Taufik Hidayat | Institut Teknologi Sepuluh Nopember | 1 |
| Isnan | Affiliation unknown | 1 |
| Nabila Divanadia Luckyana | University of Brawijaya | 1 |
| Asri Rizki Yuliani | Indonesian Institute of Sciences | 1 |
| Ade Ramdan | Indonesian Institute of Sciences | 1 |
| Hilman Ferdinandus Pardede | National Research and Innovation Agency | 1 |
| Mochammad Izzuddin | University of Brawijaya | 1 |
| Agus Zainal Arifin | Institut Teknologi Sepuluh Nopember | 1 |
| Anny Yuniarti | Institut Teknologi Sepuluh Nopember | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.