[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 …

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 …

Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis

NH Watimin, H Zanuddin, MS Rahamad… - Plos one, 2023 - journals.plos.org
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 …