Hybrid Neural Network for Financial Sentiment Analysis

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This presentation explores the implementation of a hybrid neural network model for sentiment analysis focused on financial texts. It begins by highlighting the significance and challenges of sentiment analysis in finance, followed by related works on semantic structuring through topic models. The methodology discusses datasets and the architecture of the LFBP model, including its functional layers. Experimental insights cover performance metrics and thematic attention features' effectiveness....