I compared ChatGPT's voice vs text modes side-by-side — and the results will change how you use AI

I compared ChatGPT Voice and text over a week of real-world use. The differences aren’t just about tone — here’s why they actually behave like different AIs, and when each works best.
Tech Xplore

Reasoning: A smarter way for AI to understand text and images

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...
IEEE

Text-Based Topic and Sentiment Analysis of Hospital Physical Environments: Insights into Patient Well-being and Environmental Design

Abstract: This study explores how the hospital physical environment affects the hospital users experience. Through thematic analysis using LDA, and semantic network and sentiment analysis using ROST ...
IEEE

Leveraging Global Context for Improved Image–Text Sentiment Analysis

Abstract: Multimodal sentiment analysis refers to predicting the emotions conveyed by the joint input of multiple modalities. The primary challenge of this task is to effectively integrate emotional ...
Scientific Research Publishing

Research on the Nonlinear Impact of Investor Sentiment on Stock Returns Based on Deep Learning and Text Mining ()

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...
Frontiers

Public sentiment dynamics in policy transitions: a sentiment analysis based on Weibo data

Introduction: China had been implementing stringent dynamic policies during the COVID-19 pandemic. In late 2022, China made a sudden policy shift from its three-year dynamic zero-COVID to the ...
GitHub

Sentiment Analysis and Translation

The sentiment analysis and translation models included in this repository are toy models designed for demonstration purposes. They may not achieve production-level accuracy and are intended for ...
EurekAlert!

Researchers create multimodal sentiment analysis method that improves detection of human emotions while reducing computational cost

Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...
Scientific Research Publishing

Alnasrawi, A.M., Alzubaidi, A.M.N. and Al-Moadhen, A.A. (2024) Improving Sentiment Analysis Using Text Network Features within Different Machine Learning Algorithms. Bulletin ...

ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...