Analyzing Emotional Trends from X platform using SenticNet: A Comparative Analysis with Cryptocurrency Price
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Abstract (arXiv)
This study delves into the relationship between emotional trends from X platform data and the market dynamics of well-known cryptocurrencies Cardano, Binance, Fantom, Matic, and Ripple over the period from October 2022 to March 2023. Leveraging SenticNet, we identified emotions like Fear and Anxiety, Rage and Anger, Grief and Sadness, Delight and Pleasantness, Enthusiasm and Eagerness, and Delight and Joy. Following data extraction, we segmented each month into bi-weekly intervals, replicating this process for price data obtained from Finance-Yahoo. Consequently, a comparative analysis was conducted, establishing connections between emotional trends observed across bi-weekly intervals and cryptocurrency prices, uncovering significant correlations between emotional sentiments and coin valuations.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 0 of its 34 references that are in the map. First posted on arXiv 6 May 2024.
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Citing papers per year: 2024: 2; 2025: 3; 2026: 1.
6 papers.
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- 2026Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformerscited by 0
- 2026Decoding Market Emotions in Cryptocurrency Tweets via Predictive Statement Classification with Machine Learning and Transformers26 Mar 2026
- 2025Hope Speech Detection in Social Media English Corpora: Performance of Traditional and Transformer Models27 Oct 2025
- 2025Multilingual Hate Speech Detection in Social Media Using Translation-Based Approaches with Large Language Models9 Jun 2025
- 2025GS_DravidianLangTech@2025: Women Targeted Abusive Texts Detection on Social Media1 Apr 2025
- 2024Social Support Detection from Social Media Texts4 Nov 2024
- 2024Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models4 Sep 2024