This paper provides an extensive examination of a sizable dataset of English
tweets focusing on nine widely recognized cryptocurrencies, specifically
Cardano, Binance, Bitcoin, Dogecoin, Ethereum, Fantom, Matic, Shiba, and
Ripple. Our primary objective was to conduct a psycholinguistic and emotion
analysis of social media content associated with these cryptocurrencies. To
enable investigators to make more informed decisions. The study involved
comparing linguistic characteristics across the diverse digital coins, shedding
light on the distinctive linguistic patterns that emerge within each coin's
community. To achieve this, we utilized advanced text analysis techniques.
Additionally, our work unveiled an intriguing Understanding of the interplay
between these digital assets within the cryptocurrency community. By examining
which coin pairs are mentioned together most frequently in the dataset, we
established correlations between different cryptocurrencies. To ensure the
reliability of our findings, we initially gathered a total of 832,559 tweets
from Twitter. These tweets underwent a rigorous preprocessing stage, resulting
in a refined dataset of 115,899 tweets that were used for our analysis.
Overall, our research offers valuable Perception into the linguistic nuances of
various digital coins' online communities and provides a deeper understanding
of their interactions in the cryptocurrency space.

通过对包括卡尔达诺、币安、比特币、狗狗币、以太坊、空灵、Matic、币神和瑞波在内的多个数字货币的英文推特大数据集进行详尽研究，本文主要旨在进行社交媒体内容的心理和情感分析，比较不同数字货币之间的语言特征，探讨不同数字货币社区中呈现的独特语言模式，并揭示了这些数字资产在加密货币社区中的相互作用。