A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine–Russia conflict
S Aslan - Applied Soft Computing, 2023 - Elsevier
Twitter, one of the most significant social media platforms, can be used as data sources to
research public opinion on various topics, including political conflicts. People worldwide …
research public opinion on various topics, including political conflicts. People worldwide …
Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter
In this paper, we analyze the worldwide perception of the Russia-Ukraine conflict (RU
conflict for short) on the Twitter platform. The study involved collecting over 17 million tweets …
conflict for short) on the Twitter platform. The study involved collecting over 17 million tweets …
Imbalance data: The application of RUS FCM K-RBFNN Smote with XGBoost in the elderly well-being identification
G Liu, G Qi, S Wan - Journal of Intelligent & Fuzzy Systems, 2024 - content.iospress.com
Imbalanced data is a serious binary classification difficulty in forecasting the well-being of
the elderly. This paper improves the Smote algorithm from the algorithm and sample …
the elderly. This paper improves the Smote algorithm from the algorithm and sample …
Hybrid Deep Learning Approach for Classification and Analysis of X Posts on Russia Ukraine War
X (formerly Twitter) has become a vital source of information on various variety of social,
political, and economic concerns, as a consequence of its growth and popularity which has …
political, and economic concerns, as a consequence of its growth and popularity which has …