Open access
Jul 2026
Leveraging NLP and deep learning models for political opinion mining: sentiment classification and sequential analysis of news media influence on elections
This research suggests an artificial intelligence (AI)-based solution that uses deep learning and natural language processing to analyze how political news sentiment affects election outcomes, and outperforms conventional machine learning baselines and reaches an accuracy of 89%.
Yawar Abbas Abid, Muhammad Kashif, Javed Ferzund et al.
· PeerJ Computer Science · 0 citations