Abstract
Everyone is free to express their opinions through social media. This study aims to get the level of emotion towards the Asian Para Games event in Indonesia.This research begins by collecting data contained on Twitter using language filters and hashtags. Each data taken will be preprocessing, where the process was done by removing punctuation, hash tags and conversion of several emojis to text. By using the polyglotlibrary, determining an emotion from each term can be done more easily because the library can recognize various languages, including Indonesian. This experiment achieves55.41% accuracy. With so many non-standard word, abbreviation and unknown emojis,this research can still be developed by making several word changes into standard words,as well as converting all emojis or emoticons to the appropriate expression.
| Original language | English |
|---|---|
| Pages (from-to) | 705-709 |
| Number of pages | 5 |
| Journal | ICIC Express Letters |
| Volume | 13 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 1 Aug 2019 |
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Keywords
- Asian Para Games
- Emotion detection
- Hashtag
- Indonesia
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
Text emotion detection for asian para games tweet in Indonesia. / David, David; Suparta, Wayan; Trisetyarso, Agung; Abbas, Bahtiar Saleh; Kang, Chulho.
In: ICIC Express Letters, Vol. 13, No. 8, 01.08.2019, p. 705-709.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Text emotion detection for asian para games tweet in Indonesia
AU - David, David
AU - Suparta, Wayan
AU - Trisetyarso, Agung
AU - Abbas, Bahtiar Saleh
AU - Kang, Chulho
PY - 2019/8/1
Y1 - 2019/8/1
N2 - Everyone is free to express their opinions through social media. This study aims to get the level of emotion towards the Asian Para Games event in Indonesia.This research begins by collecting data contained on Twitter using language filters and hashtags. Each data taken will be preprocessing, where the process was done by removing punctuation, hash tags and conversion of several emojis to text. By using the polyglotlibrary, determining an emotion from each term can be done more easily because the library can recognize various languages, including Indonesian. This experiment achieves55.41% accuracy. With so many non-standard word, abbreviation and unknown emojis,this research can still be developed by making several word changes into standard words,as well as converting all emojis or emoticons to the appropriate expression.
AB - Everyone is free to express their opinions through social media. This study aims to get the level of emotion towards the Asian Para Games event in Indonesia.This research begins by collecting data contained on Twitter using language filters and hashtags. Each data taken will be preprocessing, where the process was done by removing punctuation, hash tags and conversion of several emojis to text. By using the polyglotlibrary, determining an emotion from each term can be done more easily because the library can recognize various languages, including Indonesian. This experiment achieves55.41% accuracy. With so many non-standard word, abbreviation and unknown emojis,this research can still be developed by making several word changes into standard words,as well as converting all emojis or emoticons to the appropriate expression.
KW - Asian Para Games
KW - Emotion detection
KW - Hashtag
KW - Indonesia
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85069527097&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069527097&partnerID=8YFLogxK
U2 - 10.24507/icicel.13.08.705
DO - 10.24507/icicel.13.08.705
M3 - Article
AN - SCOPUS:85069527097
VL - 13
SP - 705
EP - 709
JO - ICIC Express Letters
JF - ICIC Express Letters
SN - 1881-803X
IS - 8
ER -