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QuantLet / BitMood Public

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BitMood

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BitMood

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11 lines (6 loc) · 387 Bytes

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Name of QuantLet : 'BitMood'

Published in : 'IDA'

Description : 'This study employs AI-based emotion detection and sentiment analysis to uncover significant correlations between Facebook users’ emotions and Bitcoin market trends.'

Keywords : 'Facebook, sentiment analysis, Bitcoin, CrowdTangle, LSTM, Topic Modelling'

Author: Daniel Traian Pele

Submitted : Mon, 30 September 2024

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