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.

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

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