Acta Marisiensis.
Seria Technologica
ISSN 2668-4217
ISSN-L 2668-4217
(Online)
English
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Volum 16 (XXXIII), nr 2
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Volum 15 (XXXII), nr 2
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Volum 14 (XXXI), nr 2
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Anul 2015
Volum 12 (XXIX), nr 1
Volum 12 (XXIX), nr 2
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Volum 11 (XXVIII), nr 1
Volum 11 (XXVIII), nr 2
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Volum 10 (XXVII), nr 1
Volum 10 (XXVII), nr 2
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Volum 9 (XXVI), nr 1
Volum 9 (XXVI), nr 2
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Volum 8 (XXV), nr 1
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2019, Volume 16 (XXXIII), no 2
Cryptoncurrency – Sentiment Analysis in Social Media
Tudor-Mircea DULĂU, Robert Bosch SRL, Romania
Mircea DULĂU, George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Tîrgu Mureș, Romania
Abstract:
The paper proposes the exploration, identification and development of a Java solution for extracting the sentiment related to the cryptocurrencies phenomenon, from the content of the posts of certain popular social networks.
Detecting the positive, neutral or negative character of the sentiment is adopted as a relevant method of establishing the nature of the human perception on the topical issue defined by cryptocurrencies.
DOI: https://doi.org/10.2478/amset-2019-0009
Pages: 1-6
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