Abstract
In social media, some people use positive words to express negative opinion on a topic which is known as sarcasm. The existence of sarcasm becomes special because it is hard to be detected using simple sentiment analysis technique. Research on sarcasm detection in Indonesia is still very limited. Therefore, this research proposes a technique in detecting sarcasm in Indonesian Twitter feeds particularly on several critical issues such as politics, public figure and tourism. Our proposed technique uses two feature extraction methods namely interjection and punctuation. These methods are later used in two different weighting and classification algorithms. The empirical results demonstrate that combination of feature extraction methods, tf-idf, k-Nearest Neighbor yields the best performance in detecting sarcasm.
Original language | English |
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Title of host publication | Proceedings - 2018 5th International Conference on Electrical Engineering Computer Science and Informatics (EECSI 2018) |
Editors | Anton Yudhana, Zulfatman Has, Deris Stiawan, Munawar A. Riyadi, Imam Much Ibnu Subroto, Agus Eko Minarno, Christian Sri Kusuma Aditya |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 137-141 |
Number of pages | 5 |
ISBN (Electronic) | 9781538684023 |
ISBN (Print) | 9781538684030 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | International Conference on Electrical Engineering Computer Science and Informatics 2018 - Malang, Indonesia Duration: 16 Oct 2018 → 18 Oct 2018 Conference number: 5th https://ieeexplore.ieee.org/xpl/conhome/8743502/proceeding (Proceedings) http://eecsi.org/2018/ (Website) |
Publication series
Name | International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) |
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Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Volume | 2018-October |
ISSN (Print) | 2407-439X |
Conference
Conference | International Conference on Electrical Engineering Computer Science and Informatics 2018 |
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Abbreviated title | EECSI 2018 |
Country/Territory | Indonesia |
City | Malang |
Period | 16/10/18 → 18/10/18 |
Internet address |
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Keywords
- Feature extraction
- Negative opinion
- Sarcasm detection
- Sentiment analysis
- Social media