EVALUATING TOPIC MODELING FOR SAUDI NEWSPAPERS TEXTS USING LDA: A COMPUTATIONAL LINGUISTICS STUDY

This paper is in the field of natural language processing.It applied unsupervised machine learning approach to identifying the latent topics in Saudi newspapers using one of the most important unsupervised topic modeling algorithms.This algorithm is called Latent Dirichlet Allocation (LDA).I built a corpus from Saudi newspapers, and it contained 4,

BackgroundTo construct prognostic read more model of colorectal cancer (CRC) recurrence and metastasis (R&M) with traditional Chinese medicine (TCM) factors based on different machine learning (ML) methods.Aiming to offset the defects in the existing model lacking TCM factors.MethodsPatients with stage I-III CRC after radical resection were inc