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 ...

Until the first benchmarking of large-scale MSAs, analyses made on smaller datasets suggested that scale-up would result in increased accuracy 7. However, it has now been established that alignments ...

Embeddings from protein Language Models (pLMs) are replacing evolutionary information from multiple sequence alignments (MSAs) as the most successful input for protein prediction. Is this because ...