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.

Bibliografiska uppgifter
Huvudupphovsmän:	Rodela, Raisa Rahman, Efty, Farhan Tanvir, Rahman, Mubashira, Wajiha, Shaira
Övriga upphovsmän:	Reza, Md Tanzim
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2024
Ämnen:	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
Länkar:	http://hdl.handle.net/10361/22875

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

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