Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...
Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...
Giant AI data centers are causing some serious and growing problems – electronic waste, massive use of water (especially in arid regions), reliance on destructive and human rights-abusing mining ...
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