Department of Computer Engineering, Yazd University, Yazd, Iran.
BMC Res Notes. 2024 Oct 11;17(1):303. doi: 10.1186/s13104-023-06548-z.
With the expansion of social networks such as Twitter, many experts share their opinions on various topics. The opinions of experts, who are also known as influencers, can be very influential. Combining these tweets and the historical prices of cryptocurrencies makes it possible to predict their price trends accurately. A Hybrid of RoBERTa deep neural network and BiGRU has been used for Sentiment Analysis (SA). Sentiments of tweets can be of great help to investors to understand the future behavior of the market and manage the stock portfolio. Unlike the tweets that are only extracted using the cryptocurrency name hashtag, the tweets of this dataset have specialized opinions and can determine the market trend.
The dataset created in this research concerns the opinions of more than 52 influencers (persons or companies) regarding eight cryptocurrencies. This dataset was collected through the Apify Twitter API for eight months, from February 2021 to June 2023. This dataset contains five Excel files and tweets, compound score, importance coefficient of each tweet, sentiment polarity, and historical prices of four cryptocurrencies: Bitcoin, Ethereum, Binance, and other information. These tweets cover the opinions of 52 influencers on more than 300 cryptocurrencies, although most comments are related to Bitcoin, Ethereum, and Binance. For this reason, three Excel files containing the historical prices of polarity and compound sentiment related to Bitcoin, Ethereum, and Binance cryptocurrencies have been placed separately in the dataset. The polarity of sentiment in these Excel shows the maximum number of polarities by applying the importance coefficient, which determines the dominant polarity of sentiment related to a particular day for the cryptocurrency.
随着 Twitter 等社交网络的扩张,许多专家分享了他们对各种主题的看法。这些被称为意见领袖的专家的意见可能非常有影响力。将这些推文和加密货币的历史价格结合起来,可以准确预测它们的价格趋势。一种混合了 RoBERTa 深度神经网络和 BiGRU 的方法已被用于情感分析(SA)。推文的情绪可以极大地帮助投资者了解市场的未来行为并管理股票投资组合。与仅使用加密货币名称标签提取的推文不同,该数据集的推文具有专业意见,可以确定市场趋势。
本研究创建的数据集涉及 52 位(个人或公司)专家对八种加密货币的意见。该数据集是通过 Apify 的 Twitter API 在八个月内收集的,从 2021 年 2 月到 2023 年 6 月。该数据集包含五个 Excel 文件和推文、复合得分、每条推文的重要性系数、情绪极性以及比特币、以太坊、币安和其他信息的四种加密货币的历史价格。这些推文涵盖了 52 位专家对 300 多种加密货币的意见,尽管大多数评论都与比特币、以太坊和币安有关。出于这个原因,已将与比特币、以太坊和币安加密货币的极性和复合情绪相关的历史价格的三个 Excel 文件分别放置在数据集中。这些 Excel 中的情绪极性显示了通过应用重要性系数确定的极性的最大数量,该系数决定了特定日期与特定加密货币相关的主导情绪极性。