Analyzing Emotional Trends from X Platform Using SenticNet: A Comparative Analysis with Cryptocurrency Price

【Author】 Tash, Moein Shahiki; Ahani, Zahra; Tash, Mohim; Kolesnikova, Olga; Sidorov, Grigori

【Source】COGNITIVE COMPUTATION

【影响因子】4.890

【Abstract】This study investigates the relationship between emotional trends derived from X platform data and the market dynamics of prominent cryptocurrencies-Cardano, Binance, Fantom, Matic, and Ripple-during the period from October 2022 to March 2023. Utilizing SenticNet, key emotions such as fear and anxiety, rage and anger, grief and sadness, delight and pleasantness, enthusiasm and eagerness, and delight and joy were identified. The emotional data and cryptocurrency price data, sourced bi-weekly, were analyzed to uncover significant correlations. The findings reveal that emotions such as delight and pleasantness and delight and joy have the strongest positive correlations with Fantom's price, while delight and pleasantness exhibit the strongest negative correlations with Cardano and Binance. The study highlights the nuanced impact of specific emotional states on cryptocurrency prices, offering valuable insights for market participants.

【Keywords】Cryptocurrency; Emotion; SenticNet

【发表时间】2024 2024 AUG 9

【收录时间】2024-08-14

【文献类型】实证数据

【主题类别】

区块链应用-虚拟经济-加密货币