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 ...

Surya, an AI model developed by NASA and IBM, tries to find hidden patterns in solar data to detect solar flares and winds. NASA and IBM have released a new open-source machine learning model to help ...

President Trump announced Monday on his social media site that he plans to "lead a movement" to get rid of mail-in ballots and voting machines in the country ahead of next year's midterm elections.

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 ...