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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This is the repository of the paper "BitMood: AI Analysis of Bitcoin Trends via Facebook Emotion", authors Alexandra Ioana Conda, Ștefan Găman, Raul Cristian Bâg, Miruna Mazurencu-Marinescu-Pele, Daniel Traian Pele, Wolfgang Karl Härdle.
QuantLet/BitMood
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This is the repository of the paper "BitMood: AI Analysis of Bitcoin Trends via Facebook Emotion", authors Alexandra Ioana Conda, Ștefan Găman, Raul Cristian Bâg, Miruna Mazurencu-Marinescu-Pele, Daniel Traian Pele, Wolfgang Karl Härdle.
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