A bigura-based real time sentiment analysis of new media.

ABSTRACT: Public opinion mining is an active research domain, especially the penetration of the internet and the adoption of smartphones lead to the enormous generation of data in new media. Thus generation of large amounts of data leads to the limitation of traditional machine learning techniques. Therefore, the obvious adoption of deep learning for the said data. A multilayer BiGura modal-based technique for real-time sentiment detection is proposed. The proposed system is analysed on different viral incidents such as Gaza's invision. The exact case scenario is as follows "Taking Israel's demand for millions of people from northern Gaza to migrate to the south". In the experiment, the highest accuracy of the model in evaluating text content emotions and video content emotions reached 92.7% and 86.

SUBMITTER: Xu H 

PROVIDER: S-EPMC11636999 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature