Supervisor:
Superv 1
Category:
English
School:
Colegio de San Juan de Letran Calamba
Country:
Philippines
Year:
2024
Description:
The study proposes a Bilingual Sentiment Analysis Application Programming Interface (API) utilizing Logistic Regression and Support Vector Machine algorithms. The Bilingual Sentiment Analysis model demonstrated efficiency, streamlining processes and reducing analysis time. The Logistic Regression algorithm exhibited accuracy, while the Support Vector Machine showcased efficacy in capturing sentiment patterns.
