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Sentiment Analysis: an Application to Anadolu University

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Kamisli Ozturk Z., Erzurum Cicek Z., Ergul Z.
Acta Physica Polonica A
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2017
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vol. 132
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issue 3
753-755
EN
Social media is a Web 2.0 platform that allows to share content and information without the limitations of time and space. Social media networks have managed to become a part of today's lifestyle and are increasingly gaining importance when viewed from a state perspective. Sentiment analysis refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. In this study, we focus on social media mining and sentiment analysis for students of an open and distance education system. Anadolu University which has approximately two million students and more than two million graduates, is a well-known institution in Turkey, that offers higher education through contemporary distance education model. Firstly, we have fetched Tweets related to Anadolu University open and distance education system. To perform sentiment analysis, these tweets were analysed by statistical and data mining techniques. Finally, results were visualized.
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The role of social media in ophthalmology: a narrative review

88%
Moura-Coelho N.
OphthaTherapy
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2020
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vol. 7
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issue 3
262-266
EN
Social media have played an increasing role in medicine with potential applications for both physicians and patients. This trend has also impacted clinical and surgical practice in ophthalmology in a wide range of subspecialties to promote scientific research findings, provide further tools for teaching, and ease communication between ophthalmologists across the globe improving patient care. However, social media have certain limitations that need to be overcome to ensure their reliability and quality for physicians and patients. This article provides a review of the current applications and pitfalls of social media in ophthalmology.
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