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 …

[PDF][PDF] Automatic Detection of Knee Osteoarthritis Disease with the Developed CNN, NCA and SVM Based Hybrid Model.

S Aslan - Traitement du Signal, 2023 - researchgate.net
Accepted: 1 February 2023 Knee osteoarthritis (Knee-OA) is one of the most common
musculoskeletal diseases caused by loss of cartilage and bone changes in the joint …

Monitoring the Relationship between Social Network Status and Influenza Based on Social Media Data

Q Yan, S Shan, B Zhang, W Sun, M Sun… - Disaster Medicine and …, 2023 - cambridge.org
Background: This article aims to analyze the relationship between user characteristics on
social networks and influenza. Methods: Three specific research questions are …

[PDF][PDF] Synthesis of Slogans with Predicted Sentiment from Twitter using a Novel Hybrid SDG-LSTM Model for Election Campaigns

SS Sangle, RR Sedamkar - Indian Journal …, 2024 - sciresol.s3.us-east-2.amazonaws …
Objectives: The primary objectives of this study encompass the enhancement of election
campaign strategies through the synthesis of sentiment-laden slogans derived from Twitter …

Examining Reactions about COVID-19 Vaccines: A Systematic Review of Studies Utilizing Deep Learning for Sentiment Analysis

RR Saxena - Authorea Preprints, 2024 - techrxiv.org
Objective: The exponential growth of digital social platforms has not only connected
individuals globally but has also provided a platform for users to freely express their …