Abstract: This study presents an automated approach to emotion detection and classification in informal text using SpaCy, with a focus on social media content such as tweets. The inherent brevity and ...

The lawsuit alleges the company uses a form of artificial intelligence called “computer vision” to help mitigate theft by collecting data about customers’ facial geometry Jon Cherry/Bloomberg via ...

Abstract: In the rapidly developing field of natural language processing (NLP), emotion recognition from text has become more crucial for better human-computer interactions, particularly in chatbots ...

Ensure you have the following files in your project: emotion_model.h5: Pre-trained facial emotion recognition model. The provided code script (with camera/mic access). Place the output folder: ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...

A bottleneck to enabling widespread access to molecular diagnostics, especially in low- and middle-income countries, has been the high cost and complex logistics associated with rapid point-of-care ...

A pipeline for extracting and training Named Entity Recognition (NER) models for High Court judgements using spaCy and Doccano. This project automates the workflow from downloading PDF judgements to ...

Unstable emotions are considered to be an important factor contributing to traffic accidents. The probability of accidents can be reduced if emotional anomalies of drivers can be quickly identified ...