TEP2MP: a text-emotion prediction model oriented to multi-participant text-conversation scenario with hybrid attention enhancement

DOI10.3934/MBE.2022122OpenAlexW4206708600MaRDI QIDQ2130330

Tinghuai Ma, Huan Rong, Xinyu Cao, Xin Yu, Gongchi Chen

Publication date: 25 April 2022

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022122

zbMATH Keywords

time series prediction deep learning text sentiment analysis

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Uses Software

This page was built for publication: TEP2MP: a text-emotion prediction model oriented to multi-participant text-conversation scenario with hybrid attention enhancement