BERT-BiLSTM Architecture to Modelling Depression Recognition for Indonesian Text from English Social Media-Reference-Cited by-同舟云学术

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BERT-BiLSTM Architecture to Modelling Depression Recognition for Indonesian Text from English Social Media

Published:2023-09-06 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS)
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Author:

Chowanda Andry¹,Andangsari Esther Widhi²,Yesmaya Violitta¹,Chen Tin-Kai³,Fang Hsiao-Lin⁴

Affiliation:

1. School of Computer Science, Bina Nusantara University,Computer Science Department,Jakarta,Indonesia,11480

2. Bina Nusantara University,Faculty of Humanities,Psychology Department,Jakarta,Indonesia,11480

3. Tainan University of Technology,Creative Computing Centre,Department of Comic Art,Taiwan,R.O.C.

4. Tainan University of Technology,Living Service Industry Department,Taiwan,R.O.C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10284521/10284522/10284707.pdf?arnumber=10284707

Reference20 articles.

1. Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review

2. Hybrid Depression Classification and Estimation from Audio Video and Text Information

3. Detecting depression and mental illness on social media: an integrative review

4. A review on recognizing depression in social networks: challenges and opportunities

5. VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text

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