LINYA: Name Entity Recognition Web-based Text Annotation

Abstract

The world was put in disarray when the novel coronavirus first began. Furthermore, when the World Health Organization (WHO) declared the novel coronavirus outbreak a public health emergency of international concern (PHEIC), people prepared safety protocols to minimize the effect of the virus. One of these is the implementation of e-learning in countries, including the Philippines. As this contactless learning began, students’ motivation decreased due to a lack of private space/classroom and face-to-face communication with their teachers. Learners’ motivation is as crucial as this influences their pace to learn. The researchers developed a tool to help students with their studies and motivate them. LINYA is a web-based text annotation tool in machine learning. The tool was developed using an NLP method in machine learning. The researchers used automated Agile testing with four phases in testing the web tool. It began with component testing and progressed to integration, system, and acceptance testing. Based on the results from simulated data, the tests showed favorable results, with mean scores ranging from 3.8 to 4.6, for all areas of a usability test. It further shows that the developed system is ready for implementation.