Abstract: This study investigates the application of deep learning and advanced machine learning techniques to sentiment analysis and thematic clustering in small and medium-sized news datasets.
The good news, for me at least, is that the computer thinks I have a nice personality. According to an app called MorphCast, I was, in a recent meeting with my boss, generally “amused,” “determined,” ...
Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...
ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
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 ...
This project focuses on analyzing public sentiment toward Apple and Google products by leveraging Natural Language Processing (NLP) techniques. The primary objective is to develop a robust model ...
This project explores confidence levels in cryptocurrency predictions using Ridge Regression, a regularized linear modeling approach that addresses multicollinearity among features. By analyzing ...
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