A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis
A Ghorbanali, MK Sohrabi - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …
applications in various fields. The increasing popularity of social networks and growth and …
A technical review of the state-of-the-art methods in aspect-based sentiment analysis
With the advent and rapid advancement of text mining technology, a computer-based
approach used to capture sentiment standpoints from data in textual form is increasingly …
approach used to capture sentiment standpoints from data in textual form is increasingly …
A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and
social trends, underpinning applications ranging from market research to political analysis …
social trends, underpinning applications ranging from market research to political analysis …
Sentiment analysis of student feedback: A comparative study employing lexicon and machine learning techniques
C Dervenis, G Kanakis, P Fitsilis - Studies in Educational Evaluation, 2024 - Elsevier
One of the most pressing concerns in contemporary education examines the integration of
big data and artificial intelligence methodologies to enhance the educational learning …
big data and artificial intelligence methodologies to enhance the educational learning …
Efficient low-resource medical information processing based on semantic analysis and granular computing
Y Cheng, C Zhang, AK Sangaiah, X Fan… - ACM Transactions on …, 2023 - dl.acm.org
The rise of the digital economy and e-commerce has fostered a movement towards efficient
low-resource medical information processing, a trend that holds great importance in the …
low-resource medical information processing, a trend that holds great importance in the …
[HTML][HTML] Will Public Health Emergencies Affect Compensatory Consumption Behavior? Evidence from Emotional Eating Perspective
YF Wang, KH Wang - Foods, 2024 - mdpi.com
This research examines the correlation between the COVID-19 pandemic and the desire to
engage in compensatory consuming behaviors, specifically emphasizing emotional eating …
engage in compensatory consuming behaviors, specifically emphasizing emotional eating …
Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era
ON Akande, MO Lawrence, P Ogedebe - Journal of Electrical Systems and …, 2023 - Springer
Background Social media platforms, especially Twitter, have turned out to be a major source
of data repositories. They have become a platform that citizens can use to voice their …
of data repositories. They have become a platform that citizens can use to voice their …
Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis
M Nokkaew, K Nongpong, T Yeophantong… - Social Network Analysis …, 2023 - Springer
Sentiment analysis is becoming a very popular research technique. It can effectively identify
hidden emotional trends in social networks to understand people's opinions and feelings …
hidden emotional trends in social networks to understand people's opinions and feelings …