在X平台上对加密货币话语的心理语言和情感分析
Moein Shahiki Tash1, Olga Kolesnikova2, Zahra Ahani3
1Instituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico, Mexico. mshahikit2022@cic.ipn.mx.
Scientific reports
|April 13, 2024
概括
这项研究分析了关于9种加密货币的10万条推特,揭示了独特的语言模式和共同提及网络. 了解这些社交媒体动态有助于在加密货币市场中做出明智的决策.
科学领域:
- 计算社会科学 计算社会科学
- 自然语言处理自然语言处理.
- 加密货币市场分析分析
背景情况:
- 像X这样的社交媒体平台对于加密货币讨论至关重要.
- 了解这些讨论中的情绪和语言模式对于市场分析至关重要.
- 九个主要的加密货币 (Cardano,Binance,比特币,Dogecoin,以太坊,Fantom,Matic,Shiba,Ripple) 是关注的焦点.
研究的目的:
- 对与九种加密货币相关的社交媒体内容进行心理语言和情感分析.
- 为了比较语言特征,并在每个加密货币的在线社区中识别独特的模式.
- 了解这些数字资产之间的共同关系和相互作用.
主要方法:
- 收集了832,559条推文,精制为115,899条用于分析.
- 采用先进的文本分析技术进行心理语言和情感评估.
- 分析了加密货币提及的同时发生情况,以映射资产间的关系.
主要成果:
- 识别了与九种加密货币中的每一种相关的独特语言特征和情感色调.
- 揭示了重要的共同提及模式,表明不同加密货币是如何一起讨论的.
- 建立了对围绕这些数字资产的社交媒体话语的细微理解.
结论:
- 该研究为社交媒体上的加密货币社区的语言特征提供了宝贵的见解.
- 结果提高了对各种数字资产之间的相互作用和关系的理解.
- 这项研究支持加密货币专家和研究人员做出更明智的决策.
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