A Survey on Cyberbullying Detection Techniques
U Shrivastav, P Srivastava… - 2023 10th International …, 2023 - ieeexplore.ieee.org
In today's day-to-day life where the internet, social media, and electronic communication
have become so common, bullying has taken the form of cyberbullying. Cyberbullying is …
have become so common, bullying has taken the form of cyberbullying. Cyberbullying is …
Mental Health Prediction Model on Social Media Data Using CNN-BiLSTM
DH Fudholi - Kinetik: Game Technology, Information System …, 2024 - kinetik.umm.ac.id
Social media has transformed into a global platform for expression and interaction where
users can share photos, images, and videos. The rapid development and widespread use of …
users can share photos, images, and videos. The rapid development and widespread use of …
Improving Depression Classification in Social Media Text with Transformer Ensembles
NT Le-Hinh, HV Vo-Hoang, TN Tran… - Proceedings of the 12th …, 2023 - dl.acm.org
Depression is an emotional disorder and it can arise in each of us individually. In the era of
the Fourth Industrial Revolution, social media platforms provide an opportunity for people to …
the Fourth Industrial Revolution, social media platforms provide an opportunity for people to …
Exploring the Impact of Word Embedding Dimensions on Depression Data Classification Using BiLSTM Model
M Lestandy - Procedia Computer Science, 2023 - Elsevier
Depression is a mental health issue that impacts over 300 million individuals worldwide.
Daily anxiety impacts the relationships of depressed individuals with their family and friends …
Daily anxiety impacts the relationships of depressed individuals with their family and friends …
A Novel Improved BILSTM Method for Depression Detection on Social Media
S Jin, Z Tang, J Peng, X Han - 2024 IEEE 19th Conference on …, 2024 - ieeexplore.ieee.org
Depression has become a serious problem in contemporary society, with the number of
affected individuals growing daily. However, although some people are aware that they …
affected individuals growing daily. However, although some people are aware that they …
DETEKSI KECEMASAN DI TWITTER MENGGUNAKAN FITUR WORD EMBEDDING BERT DAN METODE BIDIRECTIONAL-LONG SHORT TERM MEMORY
A Prawira, YH Chrisnanto… - JATI (Jurnal Mahasiswa …, 2024 - ejournal.itn.ac.id
Adanya stigma di mana pengidap gangguan jiwa adalah orang yang sakit jiwa membuat
orang-orang yang mengalami kecemasan berlebih malu untuk berobat dan lebih memilih …
orang-orang yang mengalami kecemasan berlebih malu untuk berobat dan lebih memilih …
Depression Detection Method Using Multimodal Social Media Data: An Integrative Review
J Ma - Applied and Computational Engineering, 2024 - ewadirect.com
An increasing number of people are suffering from depression due to rising chronic stress
levels. With the advent of Web 2.0, individuals are more inclined to express their emotions …
levels. With the advent of Web 2.0, individuals are more inclined to express their emotions …
Identifying Students' Mental Health Status Using Machine Learning Techniques
B Subburaj, A Ravi - Adopting Artificial Intelligence Tools in Higher … - taylorfrancis.com
Mental health issues have been on the rise in recent years. The shift in lifestyle decisions is
one of many contributory factors. Social media is an example of how the manner in which …
one of many contributory factors. Social media is an example of how the manner in which …
[PDF][PDF] Wearable IOT-Based Early Detection of Mental Disorders using Fast EXP-GRU from EEG Signals
N Surendran, V Gupta - explorebioscene.com
Mental health issues have become a significant concern with the increasing competitiveness
and pressure in today's society. To monitor mental health, smart wearable devices have …
and pressure in today's society. To monitor mental health, smart wearable devices have …