Skip to content
forked from danpele/BitMood

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.

Notifications You must be signed in to change notification settings

QuantLet/BitMood

 
 

Repository files navigation

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

About

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.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 98.5%
  • HTML 1.4%
  • Python 0.1%