CLLGMay 6, 2024

Analyzing Emotional Trends from X platform using SenticNet: A Comparative Analysis with Cryptocurrency Price

arXiv:2405.03084v114 citationsCogn Comput
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of understanding market dynamics for cryptocurrency investors by linking social media emotions to price movements, but it is incremental as it applies existing methods to new data.

This study analyzed the relationship between emotional trends from X platform data and cryptocurrency prices for Cardano, Binance, Fantom, Matic, and Ripple from October 2022 to March 2023, finding significant correlations between emotional sentiments and coin valuations.

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.

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