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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Aggregated privacy-preserving auditing for cloud data integrity

To solve the problem of data integrity in cloud storage,an aggregated privacy-preserving auditing scheme was proposed.To preserve data privacy against the auditor,data proof and All rounder tag proof were encrypted and combined by using the bilinearity property of the bilinear pairing on the cloud server.Furthermore,an efficient index mechanism was

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PROBLEM OF DEMOCRACY PROMOTION IN CONTEXT OF POSTCOLONIAL FEMINISM

The article deals with the problems of democratization as a neocolonial practice.The author argues that the spread of democracy is similar in many respects to colonialism and civilizing mission as universal and even messianic phenomena.He notes that both of these phenomena, despite the similarity of their origin, have different "gender basis" (colo

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