Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets - researchr publication authors

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Firat Akba, Ihsan Tolga Medeni, Mehmet Serdar Güzel, Iman N. Askerzade. Assessment of Iterative Semi-Supervised Feature Selection Learning for Sentiment Analyses: Digital Currency Markets. In IEEE 14th International Conference on Semantic Computing, ICSC 2020, San Diego, CA, USA, February 3-5, 2020. pages 459-463, IEEE, 2020. [doi]

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