Sentiment analysis of COVID-19 tweets using deep learning and lexicon-based approaches
Social media is a platform where people communicate, share content, and build
relationships. Due to the current pandemic, many people are turning to social networks such …
relationships. Due to the current pandemic, many people are turning to social networks such …
[HTML][HTML] Multi-lingual opinion mining for social media discourses: An approach using deep learning based hybrid fine-tuned smith algorithm with adam optimizer
AK Shahade, KH Walse, VM Thakare… - International Journal of …, 2023 - Elsevier
Multi-lingual opinion mining has become an important research area in natural language
processing, particularly in the context of social media, as it provides valuable insights from …
processing, particularly in the context of social media, as it provides valuable insights from …
A space-time framework for sentiment scope analysis in social media
The concept of scope was introduced in Social Network Analysis to assess the
authoritativeness and convincing ability of a user toward other users on one or more social …
authoritativeness and convincing ability of a user toward other users on one or more social …
Mental health co** stories on social media: a causal-inference study of Papageno effect
The Papageno effect concerns how media can play a positive role in preventing and
mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use …
mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of develo** accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of develo** accurate and reliable …
Analyzing Spanish-language public sentiment in the context of a pandemic and social unrest: The Panama case
Over the past decade, an increase in global connectivity and social media users has
changed the way in which opinions and sentiments are shared. Platforms such as Twitter …
changed the way in which opinions and sentiments are shared. Platforms such as Twitter …
Graph-based semi-supervised deep learning for Indonesian aspect-based sentiment analysis
Product reviews on the marketplace are interesting to research. Aspect-based sentiment
analysis (ABSA) can be used to find in-depth information from a review. In one review, there …
analysis (ABSA) can be used to find in-depth information from a review. In one review, there …
Coronavirus Classification based on Enhanced X-ray Images and Deep Learning
FH Najjar, SR Waheed, DA Mahdi - Malaysian Journal of …, 2023 - mjfas.utm.my
In light of the fact that the global pandemic of Coronavirus Disease 2019 (COVID-19) is still
having a significant impact on the health of people all over the world, there is a growing …
having a significant impact on the health of people all over the world, there is a growing …
FL-XGBTC: federated learning inspired with XG-boost tuned classifier for YouTube spam content detection
The problem of spam content in YouTube comments is an ongoing issue, and detecting
such content is a critical task to maintain the quality of user experience on the platform. In …
such content is a critical task to maintain the quality of user experience on the platform. In …
[PDF][PDF] Sine Cosine Optimization with Deep Learning-Based Applied Linguistics for Sentiment Analysis on COVID-19 Tweets.
Applied linguistics is an interdisciplinary domain which identifies, investigates, and offers
solutions to language-related real-life problems. The new coronavirus disease, otherwise …
solutions to language-related real-life problems. The new coronavirus disease, otherwise …