Cryptocurrency Price Prediction: A Comparative Sentiment Analysis Approach Using SVM, CNN-LSTM, and Pysentimento during Times of Crisis
Muhammad Nabil Rateb,
Sameh Alansary,
Marwa Khamis Elzouka
et al.
Abstract:Sentiment analysis is a powerful tool for extracting valuable insights from social media data. In this paper, more than one million tweets spanning three months (March, June, and December 2022) regarding three cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), and Binance Coin (BNB) during the Russian-Ukrainian War are considered. Two models, a convolutional neural network with long short-term memory (CNN-LSTM) and a support vector machine (SVM) with GloVe and TF-IDF features, are trained on a labeled dataset of… Show more
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