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.

Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application.

Q. I often perform horizontal, vertical, and trend analysis for clients. Each time revised financial statements arrive, I find myself recreating formulas, rechecking ranges, and confirming that ...

Abstract: This study evaluates the performance of Naive Bayes and Logistic Regression algorithms in sentiment analysis of YouTube comments on Indonesia’s education system. Using the CRISP-DM framework ...

I’ve been thinking about color a lot lately—what shade of lip liner accentuates my lips, what paint color would look best on the walls of my new apartment, which heel matches my favorite dress. Up ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

Consumer sentiment is closing out the year about as low as it’s ever been. Not quite at the record low it hit in June of 2022, but close. This year has been an emotional roller coaster for consumers. ...

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 ...