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Online veröffentlicht: 21. Dez. 2019
Seitenbereich: 1 - 6
DOI: https://doi.org/10.2478/amset-2019-0009
Schlüsselwörter
© 2019 Tudor-Mircea Dulău et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
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.