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Sentiment Analysis Based Direction Prediction in Bitcoin using Deep Learning Algorithms and Word Embedding Models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Extended Space Decision Tree
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Social signals and algorithmic trading of Bitcoin
inferredcites →https://doi.org/10.1109/access.2017.2779181openalex-snapshot
An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information
inferredcites →https://doi.org/10.1109/allerton.2014.7028484openalex-snapshot
Bayesian regression and Bitcoin
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Large-Scale Video Classification with Convolutional Neural Networks
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Deep Learning Approach to Determine the Impact of Socio Economic Factors on Bitcoin Price Prediction
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2017 Global Cryptocurrency Benchmarking Study
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1186/s40854-023-00501-6openalex-snapshot
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inferred← citeshttps://doi.org/10.12785/ijcds/130137openalex-snapshot
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inferred← citeshttps://doi.org/10.12785/ijcds/130138openalex-snapshot
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inferred← citeshttps://doi.org/10.14445/23488549/ijece-v10i12p104openalex-snapshot
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inferred← citeshttps://doi.org/10.1515/jisys-2023-0085openalex-snapshot
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inferred← citeshttps://doi.org/10.17323/ej.2026.33618openalex-snapshot
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inferred← citeshttps://doi.org/10.22399/ijcesen.973726openalex-snapshot
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inferred← citeshttps://doi.org/10.25077/teknosi.v9i2.2023.132-140openalex-snapshot
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inferred← citeshttps://doi.org/10.29207/resti.v6i4.4055openalex-snapshot
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inferred← citeshttps://doi.org/10.31219/osf.io/bq6tuopenalex-snapshot
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inferred← citeshttps://doi.org/10.32604/cmc.2021.015872openalex-snapshot
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inferred← citeshttps://doi.org/10.32604/cmc.2022.020823openalex-snapshot
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inferred← citeshttps://doi.org/10.33022/ijcs.v13i2.3858openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/forecast6030034openalex-snapshot
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inferred← citeshttps://doi.org/10.34288/jri.v5i2.505openalex-snapshot
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inferred← citeshttps://doi.org/10.46572/naturengs.1182766openalex-snapshot
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