[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …
Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry
Twitter being among the popular social media platforms, provide peoples' opinions
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …
Sentiment analysis: A survey on design framework, applications and future scopes
M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
Enhancing microblog sentiment analysis through multi-level feature interaction fusion with social relationship guidance
In sentiment analysis of microblogs that involve social relationships, a common approach is
to expand the features of target microblogs using microblog relationship networks. However …
to expand the features of target microblogs using microblog relationship networks. However …
A sophisticated semantic analysis framework using an intelligent tweet data clustering and classification methodologies
SR Kunam, MR Babu, PNS Kumar - Microprocessors and Microsystems, 2023 - Elsevier
Developing an efficient twitter sentiment analysis framework is one of the most challenging
and demanding chores in current days. In the conventional works, various machine/deep …
and demanding chores in current days. In the conventional works, various machine/deep …
Social Links Enhanced Microblog Sentiment Analysis: Integrating Link Prediction and Sentiment Connection Weights
X Zou, T Li, J Yang - International Conference on Database and Expert …, 2023 - Springer
The emerging microblogging service provides a new channel for people to share opinions
and sentiment. As a result, microblog sentiment analysis has become a cutting-edge and …
and sentiment. As a result, microblog sentiment analysis has become a cutting-edge and …
Multi-view graph structure learning using subspace merging on Grassmann manifold
Many successful learning algorithms have been recently developed to represent graph-
structured data. For example, Graph Neural Networks (GNNs) have achieved considerable …
structured data. For example, Graph Neural Networks (GNNs) have achieved considerable …
GRALA: modeling social information for microblog sentiment analysis from the view of balancing sparsity and smoothness of social contexts
X Zou, S Hu, T Li - 2023 Asia Pacific Signal and Information …, 2023 - ieeexplore.ieee.org
As online social networks provide people with a popular and convenient platform to express
opinions, microblog sentiment analysis has become a hot research area. Currently, social …
opinions, microblog sentiment analysis has become a hot research area. Currently, social …
[引用][C] Risk Governance and Optimization of the Intelligent News Algorithm Recommendation Mechanism
Y Lu, X Li, L Wu - International Journal of Modern Physics C, 2024 - World Scientific
With the wide application of the intelligent news algorithm in the news industry, its
recommendation mechanism has become the primary way for news consumers to obtain …
recommendation mechanism has become the primary way for news consumers to obtain …