[HTML][HTML] CNN-LSTM neural network model for fine-grained negative emotion computing in emergencies
W Zhang, L Li, Y Zhu, P Yu, J Wen - Alexandria Engineering Journal, 2022 - Elsevier
Abstract In the Web 2.0 era, governments are facing the challenge of analyzing the
emotional tendency of online public opinion during emergencies to regulate people's …
emotional tendency of online public opinion during emergencies to regulate people's …
A study on the ambiguity in human annotation of german oral history interviews for perceived emotion recognition and sentiment analysis
M Gref, N Matthiesen, SH Venugopala… - arXiv preprint arXiv …, 2022 - arxiv.org
For research in audiovisual interview archives often it is not only of interest what is said but
also how. Sentiment analysis and emotion recognition can help capture, categorize and …
also how. Sentiment analysis and emotion recognition can help capture, categorize and …
Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis
Social media has been tremendously used worldwide for a variety of purposes. Therefore,
engagement activities such as comments have attracted many scholars due its ability to …
engagement activities such as comments have attracted many scholars due its ability to …
[PDF][PDF] Faculty of Science and Engineering Department of Computer Science and Technology
AM Schoene - 2021 - hull-repository.worktribe.com