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.

Opis bibliograficzny
Główni autorzy:	Rodela, Raisa Rahman, Efty, Farhan Tanvir, Rahman, Mubashira, Wajiha, Shaira
Kolejni autorzy:	Reza, Md Tanzim
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2024
Hasła przedmiotowe:	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
Dostęp online:	http://hdl.handle.net/10361/22875

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