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Halal Medical Tourism

A Sentiment Analysis
Authors: Syahdatul Maulida; Lina Marlina;

Halal Medical Tourism

Abstract

This study aims to look at sentiments related to developments halal medical tourism in scientific publications published on the theme. This study uses a qualitative method with a sentiment analysis approach. The data used is secondary data with the theme “halal medical tourism” obtained from the Scopus database of 100 scientific publications. Data is processed using software SentiStrength for extracting and classifying sentiments. The results of the study found that positive sentiment was the highest with a percentage of 47%, followed by neutral sentiment with 36% and positive sentiment with a percentage of 17%. The increasing demand for halal trends, positive Muslim-friendly innovations and large business potential are reasons for positive sentiment. Meanwhile, there is no international sharia standard for providers medical tourism and related community literacy halal medical tourism still very low to be a negative issue.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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