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You can access and download the full PDF of this research through various academic platforms: : The full article is available via open access

: Research indicates that the cooperative DAE-GRUSA model outperforms standalone GRU or LSTM models in predicting stock market trends. Article Download Options Learn more You can access and download the

: The book Dotazník by author Jiří Gruša is available for borrowing or download on the Internet Archive.

: DAE-GRUSA stands for DeepAutoEncoder-Gated Recurrent Unit Sentiment Analysis . It combines a deep autoencoder (DAE) to denoise historical stock data with Gated Recurrent Units (GRU) to process temporal patterns alongside news sentiment scores.

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