Sentiment-based support vector machine optimized by metaheuristic algorithms for cryptocurrency forecasting

Time series are used to model a variety of financial phenomena. The cryptocurrency forecasting problem is the focus of this thesis, which investigates time series forecasting challenges in finance. However, earlier research has neglected to consider the importance of sentiment and public opinion in...

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主要作者:	Nor Azizah Hitam
其他作者:	#PLACEHOLDER_PARENT_METADATA_VALUE#
格式:	Doctoral Thesis
語言:	英语
出版:	Kuala Lumpur : Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, 2022 2024
主題:	Support vector machines Machine learning > Computer simulation Cryptocurrencies
在線閱讀:	https://studentrepo.iium.edu.my/handle/123456789/9362
Abstract	Abstract here