Methods: In this paper, a structured literature review has been done by considering 122 articles to examine all relevant research accomplished in the field of opinion mining application and the suggested Kansei approach to solve the challenges that occur in mining sentiments based on text in cyberspace. Five different platforms database were systematically searched between 2015 and 2021: ACM (Association for Computing Machinery), IEEE (Advancing Technology for Humanity), SCIENCE DIRECT, SpringerLink, and SCOPUS.
Results: This study analyses various techniques of opinion mining as well as the Kansei approach that will help to enhance techniques in mining people's sentiment and emotion in cyberspace. Most of the study addressed methods including machine learning, lexicon-based approach, hybrid approach, and Kansei approach in mining the sentiment and emotion based on text. The possible societal impacts of the current opinion mining technique, including machine learning and the Kansei approach, along with major trends and challenges, are highlighted.
Conclusion: Various applications of opinion mining techniques in mining people's sentiment and emotion according to the objective of the research, used method, dataset, summarized in this study. This study serves as a theoretical analysis of the opinion mining method complemented by the Kansei approach in classifying people's sentiments based on text in cyberspace. Kansei approach can measure people's impressions using artefacts based on senses including sight, feeling and cognition reported precise results for the assessment of human emotion. Therefore, this research suggests that the Kansei approach should be a complementary factor including in the development of a dictionary focusing on emotion in the national security domain. Also, this theoretical analysis will act as a reference to researchers regarding the Kansei approach as one of the techniques to improve hybrid approaches in opinion mining.
METHODS: This research utilised two methods of qualitative research (document review and focus group discussions (FGDs) involving 25 participants from four stakeholders (higher education providers, employers, associations and regulatory bodies). Both deductive and inductive thematic content analysis were used to explore, develop and define emergent codes, examined along with existing knowledge on the subject matter.
RESULTS: Sixteen codes emerged from the FGDs, with risk of harm, set of competency and skills, formal qualification, defined scope of practice, relevant training and professional working within the healthcare team being the six most frequent codes. The frequencies for these six codes were 62, 46, 40, 37, 36 and 18, correspondingly. The risk of harm towards patients was directly or indirectly involved with patient handling and also relates to the potential harms that may implicate the practitioners themselves in performing their responsibilities as the important criterion highlighted in the present research, followed by set of competency and skills.
CONCLUSIONS: For defining the PAH in Malaysia, the emerged criteria appear interrelated and co-exist in milieu, especially for the risk of harm and set of competency and skills, with no single criterion that can define PAH fully. Hence, the integration of all the empirically identified criteria must be considered to adequately define the PAH. As such, the findings must be duly considered by policymakers in performing suitable consolidation of healthcare governance to formulate the appropriate regulations and policies for promoting the enhanced framework of allied health practitioners in Malaysia.