Analyzing Reddit Data: HybridModel for Depression Sentiment using FastText Embedding

Analyzing Reddit Data: HybridModel for Depression Sentiment using FastText Embedding

depression; social media; reddit; biLSTM;fasttext

Depression, a prevalent mental condition globally, exerts a substantial influence on various aspects of human cognition, emotions, and behaviour. The alarming increase in deaths attributable to depression over the past few years demonstrates the imperative need to address this problem through preventionand treatment interventions. In the era of thriving social media platforms, which have a significant impact on society and psychological aspects, these platforms have become a means for people to convey their emotions and experiences openly. Reddit standsout among these platforms as a significant place. The main aim of this study is to examine the feasibility of forecasting individuals' mental states by classifying Reddit articles ondepression and non-depression. This work aims to employ deep learning algorithms and word embeddings to analyze the textual and semantic settings of narratives todetect symptoms of depression. The study effectively employed a BiLSTM-BiGRU model that applied FastText word embeddings.The BiLSTM-BiGRU model analyzes informationbidirectionally, detecting correlations in sequential data. It's suitable for tasks dependent on input order or addressing data uncertainties. The Reddit dataset, featuring text concerning depression, achieved an accuracy score of 97.03% and an F1 scoreof 97.02%.

Amrul Faruq1, Merinda Lestandy2*, Adhi Nugraha3, Abdurrahim

https://jurnal.iaii.or.id/index.php/RESTI/article/view/5641/928

Departmentof Electrial Engineering, Facultyof Engineering, Universitas Muhammadiyah Malang, Malang, Indonesia

28-04-2024

FAJAR BAGUS W

PDF

ENGLISH

TEXT