首页|Khwaja Fareed University of Engineering & Information Technology R esearchers Describe Research in Machine Learning (Emotion Detection for Cryptocu rrency Tweets Using Machine Learning Algorithms)
Khwaja Fareed University of Engineering & Information Technology R esearchers Describe Research in Machine Learning (Emotion Detection for Cryptocu rrency Tweets Using Machine Learning Algorithms)
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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.”
Khwaja Fareed University of Engineering & Information TechnologyRahim Yar KhanPakistanAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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