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Found 2 papers, 2 papers with code
Topic Modeling, Clade-assisted Sentiment Analysis, and Vaccine Brand Reputation Analysis of COVID-19 Vaccine-related Facebook Comments in the Philippines
This paper proposes a semi-supervised machine learning pipeline to perform topic modeling, sentiment analysis, and an analysis of vaccine brand reputation to obtain an in-depth understanding of national public opinion of Filipinos on Facebook.
k-Nearest Neighbor Optimization via Randomized Hyperstructure Convex Hull
The accuracy of the proposed k-NN algorithm is 85. 71%, while the accuracy of the conventional k-NN algorithm is 80. 95% when performed on the Haberman's Cancer Survival dataset, and 94. 44% for the proposed k-NN algorithm, compared to the conventional's 88. 89% accuracy score on the Seeds dataset.
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