HIGHLIGHTS
SUMMARY
Each bitcoin was only worth $2.26 when the bitcoin to the authors dollar (BTCUSD) pair first entered the currency market. To evaluate and derive objective quantitative findings from unprocessed text, sentiment analysis uses NLP machine_learning and other data_analysis approaches. A single-layered convolutional neural_network (CNN) model was created by Cavalli and Amoretti to increase earnings when the trend is bullish and decrease losses when the market is bearish. An recurrent neural_network (RNN)-based model was employed in a depth literature analysis to forecast the price of bitcoin based on Twitter sentiment. A number . . .
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