摘要
一位新闻记者兼机器人与机器学习每日新闻的新闻编辑-一项关于人工智能的新研究现在是可行的。根据NewsRx e Ditor在巴基斯坦Rahim Yar Khan的新闻报道，研究表明，"加密货币，作为数字货币，在当前市场上经常波动，反映了加密货币领域的情感ASPE CT。"新闻记者从赫瓦贾·法里德工程与信息技术大学的研究中获得了一句话：“情绪与比特币和以太值有关，这是一个公认的事实，它采用基于T Witter的策略来预测变化。虽然比特币的预期回报与情绪变量没有相关性，情绪指标往往无法预测比特币的交易量和回报波动性。情绪对广泛的金融投资者回报产生影响，因此，可能会引发重大价格变动，从而影响市场动态。这项研究深入研究了从比特币alk.org上2050202篇帖子中提取的情绪因素。研究这些情绪如何影响比特币的价格波动。我们使用了一个名为“dataF”的统一数据集，其中整合了所有类别的情绪。随后，我们实施了数据预处理步骤来清理数据集。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on artificial intelligence is now ava ilable. According to news reporting out of Rahim Yar Khan, Pakistan, by NewsRx e ditors, research stated, “Cryptocurrencies, functioning as digital currencies, u ndergo regular fluctuations in the present market, reflecting the emotional aspe ct of the cryptocurrency realm.” The news reporters obtained a quote from the research from Khwaja Fareed Univers ity of Engineering & Information Technology: “It is a well-establi shed fact that sentiment is linked to Bitcoin and Ethereum values, employing a T witter-based strategy to predict changes. While prospective Bitcoin returns do n ot display a correlation with emotional variables, indicators of emotions tend t o anticipate Bitcoin exchange volume and return volatility. Emotions wield an in fluence over a broad spectrum of financial investor returns, thereby,potentially affecting market dynamics by triggering significant price shifts. The research delves into gauging emotional factors extracted from 2,050,202 posts on Bitcoint alk.org, investigating how these emotions impact Bitcoin’s price fluctuations. W e have used a unified dataset named ‘dataF’ in which all categories of emotions are consolidated. Subsequently, data preprocessing steps are implemented to clea nse the dataset.”
NETL
NSTL