JINAV: Journal of Information and Visualization
Vol. 3 No. 2 (2022)

Depression Detection on Twitter Social Media Platform using Bidirectional Long-Short Term Memory

Andre Agasi Simanungkalit (Informatics Study Program, Informatics Faculty, Telkom University Bandung, Jawa Barat, 40257, Indonesia)
Warih Maharani (Informatics Study Program, Informatics Faculty, Telkom University Bandung, Jawa Barat, 40257, Indonesia)
Prati Hutari Gani (Informatics Study Program, Informatics Faculty, Telkom University Bandung, Jawa Barat, 40257, Indonesia)



Article Info

Publish Date
31 Dec 2022

Abstract

Depression is one of the mental disorders that are often experienced by a person in daily life. Social media platforms is a new thing as an alternative to tell stories and express current feelings by people today. Twitter is one of the social media that is often used to express feelings and opinions through tweets posts, including tweets that contain hate speech which indirectly shows symptoms of depressive disorder through statements uploaded. It also requires modeling that can recognize users with the potential to experience depression so that they can get initial treatment. This can be implemented using the BiLSTM (Bidirectional Long Short-Term Memory) method and the Word2Vec feature. It can be concluded that the dimensional size of the large feature word2vec, LSTM, and Conv1d layers influenced the model in detecting depression which can be seen in the testing accuracy and F-1 score according to the split data used.

Copyrights © 2022






Journal Info

Abbrev

jinav

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Mathematics

Description

JINAV: Journal of Information and Visualization is an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of information science and technology, data, knowledge, communication, and their visualization. The journal publishes ...