Bi-Directional CNN-RNN Architecture with Group-Wise Enhancement and Attention Mechanisms for Cryptocurrency Sentiment Analysis
Author:
Affiliation:
1. Department of Computer Engineering, Karamanoğlu Mehmetbey University, Karaman, Turkey
2. Department of Computer Engineering, İzmir Katip Çelebi University, İzmir, Turkey
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2145641
Reference50 articles.
1. Sentiment Analysis and Emotion Detection on Cryptocurrency Related Tweets Using Ensemble LSTM-GRU Model
2. ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
3. EmoTxt: A toolkit for emotion recognition from text
4. Understanding Emotions in Text Using Deep Learning and Big Data
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