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.

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 ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

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 ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

A situation analysis is the first step in developing a new multi-year strategy. It is the basis for the vision, strategic priorities, and theory of change and for forging strategic partnerships and ...