Anatomy of Sentiment Analysis in Ontological, Epistemological, and Axiological Perspectives

M. Noer Fadli Hidayat; Didik Dwi Prasetya; Triyanna Widiyaningtyas; Syaad Patmanthara

doi:10.15575/join.v10i1.1228

Authors

M. Noer Fadli Hidayat Department of Electrical Engineering and Informatics, Universitas Negeri Malang and Department of Informatics Engineering, Universitas Nurul Jadid Probolinggo, Indonesia
Didik Dwi Prasetya Department of Electrical Engineering and Informatics, Universitas Negeri Malang, Indonesia
Triyanna Widiyaningtyas Department of Electrical Engineering and Informatics, Universitas Negeri Malang, Indonesia
Syaad Patmanthara Department of Electrical Engineering and Informatics, Universitas Negeri Malang, Indonesia

DOI:

https://doi.org/10.15575/join.v10i1.1228

Keywords:

Axiological, Epistemological, Ontological, Sentiment Analysis

Abstract

The aim of this article was to examine sentiment analysis methods from the perspective of the philosophy of science with three approaches, ontological, epistemological and axiological. This research used a qualitative research method (descriptive-analysis) with an ontological, epistemological and axiological approach that uses library research and document studies of previous research results. Data collection was carried out through books and reputable scientific journals on Scopus, ScienceDirect, IEEEXplore and Springer Link. The results of this research showed that sentiment analysis from an ontological perspective describes the definition, development and relationship of sentiment with social reality. Meanwhile, from an epistemological perspective, sentiment analysis is viewed from how the source of knowledge is obtained, explaining the production of sentiment analysis knowledge, and several ways of working that can be applied in studies. Axiologically, sentiment analysis can see the function and value resulting from sentiment analysis, as well as discussing the results of interpretation from sentiment analysis studies. These findings showed the development of sentiment analysis in answering various problems to improve the quality of sustainable services in various fields.

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