Abstract: This is because in education, evaluation of student data especially in form of feedback cannot be complete without sentiment analysis. The various methods adopted in analysis of sentiments ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...

This project is a Financial Text Sentiment Analyzer built in Python, combining traditional ML models (TF-IDF + Logistic Regression, SVM, Naive Bayes) with state-of-the-art NLP (FinBERT). It also ...

Objective: This study aimed to examine the relationship between physical activity volume and sleep duration in older adults, using objective monitoring data to investigate their non-linear association ...

NASA and IBM have released a new open-source machine learning model to help scientists better understand and predict the physics and weather patterns of the sun. Surya, trained on over a decade ...

Trump wants to stop states from voting by mail and using voting machines. But legal experts say he lacks the constitutional authority to do so.

Abstract: Conventional lexicon-based approaches to sentiment analysis typically lack the necessary methods to properly identify the negation window, making it impossible to model negation. An enormous ...

This project analyzes prosodic features from corporate earnings call audio recordings to uncover patterns in vocal tone, pitch, intensity, speech rate, and hesitations. The goal is to predict market ...