MACHINE LEARNING-BASED SENTIMENT ANALYSIS IN ENGLISH LITERATURE: USING DEEP LEARNING MODELS TO ANALYZE EMOTIONAL AND THEMATIC CONTENT IN TEXTS

Machine Learning-Based Sentiment Analysis in English Literature: Using Deep Learning Models to Analyze Emotional and Thematic Content in Texts

This paper proposes a hybrid deep learning approach combining Bidirectional Long Short-Term Memory (BiLSTM) networks and an attention mechanism to extract sentiment and thematic content from literary texts.The model is designed to capture complex emotional nuances and themes in literature by processing text data from both forward and backward direc

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New Cheilostomata (Bryozoa) from NE Atlantic seamounts, islands, and the continental slope: evidence for deep-sea endemism

Ten new species belonging to three new genera (Atlantisina gen.nov., Bathycyclopora gen.nov., Calvetopora gen.nov.) of umbonulomorph bryozoans from northeastern Atlantic seamounts, islands, and the continental slope are introduced.We furthermore erect the new family Atlantisinidae fam.nov.for these genera.Eight new species belong to the new genus A

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Incidental pineal gland cyst in girls with early onset of puberty

Abstract Background The causes of an early onset of puberty are still not clearly defined and may vary from subject to subject.In girls, even if 90% of early puberty is idiopathic, magnetic resonance imaging (MRI) of the brain is performed to exclude secondary causes of precocious puberty, in particular pathological lesions as hypothalamic tumours

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