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 ...

Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly ...

Tracking and analyzing sentiments has emerged on the scene alongside countless other automation processes in the last decade. Sentiment analysis has been popular with social media and discovering how ...

Sentiment analysis — a sophisticated tool that interprets the emotional tone behind words, giving brands a lens into how their services or products resonate. Customer feedback is a treasure trove of ...

Sentiment analysis — a technique that uses natural language processing (NLP), machine learning (ML) and AI to gauge emotions in customer interactions — has emerged as a powerful tool for uncovering ...