The political landscape in the United States is constantly shifting, and organizations that advocate for progressive policies are always on the lookout for effective ways to communicate their messages ...
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 ...
An end-to-end NLP pipeline that classifies text from three distinct domains into a 5-level sentiment scale (Very Negative to Very Positive). The project compares classical ML approaches (SVM, XGBoost) ...
The headline University of Michigan (UM) consumer sentiment index ticked up to 53.3 in early December 2025, from 51.0 in November. Inflation expectations among households fell: the expected rate over ...
Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of product reviews, emails, or survey ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly ...
Abstract: 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 ...
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