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.

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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.

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 ...

Stablecoins now represent a much deeper capital base than the last cycle. Total stablecoin market cap has exceeded $300B, up ~6x from under $50B in early 2020 — signalling a structurally larger ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. With the explosion of retail trading over recent years, Reddit ...

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 ...

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 ...