Browsing by Subject "Word Embeddings"
Now showing items 1-2 of 2
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Common N-Gram Method: A Promising Approach to Detecting Mental Health Disorders on Social Media
(2023-04-13)This paper addresses the mental health challenges posed by the COVID-19 pandemic and the lack of reliable and accessible diagnostic tools for mental health conditions. The dataset used in this research consists of over 2 ... -
Investigating Word Embedding Techniques for Extracting Disease, Gene, and Chemical Relationships from Biomedical Texts
(2024-09-25)This thesis investigates word embedding models, including PubMedBERT, BioBERT, SkipGram, CBOW, and GloVe, in the context of Literature-Based Discovery (LBD) within biomedical research, with a specific focus on cancer-related ...