Emotional Reactivity Classification Using Artificial Intelligence Based on Twitter in Bahasa Indonesia

Twitter is one of Indonesia's most widely used social media to express positive and negative emotions. Negative emotions are referred to as emotional reactivity, an example of which is depression. To detect emotional reactivity, Artificial Intelligence (AI) was used. With deep learning pretrain...

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Vydáno v:2023 IEEE 3rd International Conference on Social Sciences and Intelligence Management (SSIM) s. 144 - 148
Hlavní autoři: Paramita, Greta V., Andangsari, Esther W., Kemala, Ade P., Ali, Moondore M., Putri, Trisa M., Puspita, Katarina I.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 15.12.2023
Témata:
Analytical models
artificial intelligence
Blogs
Deep learning
Depression
emotional reactivity
Social networking (online)
Social sciences
Training
twitter
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Abstract Twitter is one of Indonesia's most widely used social media to express positive and negative emotions. Negative emotions are referred to as emotional reactivity, an example of which is depression. To detect emotional reactivity, Artificial Intelligence (AI) was used. With deep learning pretrained model methods (IndoBERT and IndoBERTweet), AI successfully classified emotional reactivity. AI satisfactorily detected emotional reactivity on Twitter.
AbstractList Twitter is one of Indonesia's most widely used social media to express positive and negative emotions. Negative emotions are referred to as emotional reactivity, an example of which is depression. To detect emotional reactivity, Artificial Intelligence (AI) was used. With deep learning pretrained model methods (IndoBERT and IndoBERTweet), AI successfully classified emotional reactivity. AI satisfactorily detected emotional reactivity on Twitter.
Author Paramita, Greta V.
Ali, Moondore M.
Putri, Trisa M.
Andangsari, Esther W.
Kemala, Ade P.
Puspita, Katarina I.
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  givenname: Esther W.
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  surname: Andangsari
  fullname: Andangsari, Esther W.
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  givenname: Ade P.
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  surname: Kemala
  fullname: Kemala, Ade P.
  organization: Data Science Program School of Computer Science, Bina Nusantara University,Jakarta,Indonesia
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  givenname: Moondore M.
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  givenname: Trisa M.
  surname: Putri
  fullname: Putri, Trisa M.
  email: trisa.putri@binus.ac.id
  organization: Bina Nusantara University,Faculty of Humanities,Psychology Department,Jakarta,Indonesia
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  givenname: Katarina I.
  surname: Puspita
  fullname: Puspita, Katarina I.
  email: Katarina.puspita@binus.ac.id
  organization: Bina Nusantara University,Faculty of Humanities,Psychology Department,Jakarta,Indonesia
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Snippet Twitter is one of Indonesia's most widely used social media to express positive and negative emotions. Negative emotions are referred to as emotional...
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StartPage 144
SubjectTerms Analytical models
artificial intelligence
Blogs
Deep learning
Depression
emotional reactivity
Social networking (online)
Social sciences
Training
twitter
Title Emotional Reactivity Classification Using Artificial Intelligence Based on Twitter in Bahasa Indonesia
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