Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP

Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Библиографические подробности
Главные авторы:	Rodela, Raisa Rahman, Efty, Farhan Tanvir, Rahman, Mubashira, Wajiha, Shaira
Другие авторы:	Reza, Md Tanzim
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2024
Предметы:	Schizophrenia Logistic regression Mental illness Decision tree Language pattern Social media post Natural language processing GRU Bi-LSTM BERT Natural language processing (Computer science) Machine learning
Online-ссылка:	http://hdl.handle.net/10361/22875

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