
Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis.
HIV discourse on social media analyzed 191,972 tweets, revealing 63% focused on education. ππ¬
Discover the newest research about AI innovations in π£οΈ Speech Recognition.

HIV discourse on social media analyzed 191,972 tweets, revealing 63% focused on education. ππ¬

Exploring chatbot interactions: 1,553 users reveal emotional support’s impact on media dependence and usage intention. π€π¬

Evaluating ASR in clinical settings: WER ranges from 0.31 to 0.58 in schizophrenia samples. Context matters! ππ§

Bimodal imaging probes enhance disease diagnosis and therapy, combining MRI and fluorescence for improved precision. π§¬π¬

Innovative audio analysis detects depression with 92.4% accuracy using graph convolutional networks. π§π

Transformers enhance speaker-independent Speech Emotion Recognition, achieving up to 58.85% accuracy with diverse datasets. ππ

UHL, UHN, and Microsoft partner to advance AI in healthcare, aiming to improve patient care and streamline services. π€π»

Exploring ChatGPT as a Digital Therapist: Insights from Reddit Discourse on Mental Health π§ π¬

Innovative AI framework enhances Indian Sign Language recognition for hearing-impaired, achieving high accuracy and optimized performance. π€β

Exploring the DRSSU Dataset: 1,000+ Ukrainian Speech Samples for NLP Innovation π€π