Detecting fake news for reducing misinformation risks using analytics approaches
Fake news is playing an increasingly dominant role in spreading misinformation by
influencing people's perceptions or knowledge to distort their awareness and decision …
influencing people's perceptions or knowledge to distort their awareness and decision …
Using deep learning models to detect fake news about COVID-19
The proliferation of mobile networked devices has made it easier and faster than ever for
people to obtain and share information. However, this occasionally results in the …
people to obtain and share information. However, this occasionally results in the …
TaxoExpan: Self-supervised taxonomy expansion with position-enhanced graph neural network
Taxonomies consist of machine-interpretable semantics and provide valuable knowledge for
many web applications. For example, online retailers (eg, Amazon and eBay) use …
many web applications. For example, online retailers (eg, Amazon and eBay) use …
Comments mining with TF-IDF: the inherent bias and its removal
Text mining have gained great momentum in recent years, with user-generated content
becoming widely available. One key use is comment mining, with much attention being …
becoming widely available. One key use is comment mining, with much attention being …
Enhancing taxonomy completion with concept generation via fusing relational representations
Automatic construction of a taxonomy supports many applications in e-commerce, web
search, and question answering. Existing taxonomy expansion or completion methods …
search, and question answering. Existing taxonomy expansion or completion methods …
Hiexpan: Task-guided taxonomy construction by hierarchical tree expansion
Taxonomies are of great value to many knowledge-rich applications. As the manual
taxonomy curation costs enormous human effects, automatic taxonomy construction is in …
taxonomy curation costs enormous human effects, automatic taxonomy construction is in …
Empower entity set expansion via language model probing
Entity set expansion, aiming at expanding a small seed entity set with new entities belonging
to the same semantic class, is a critical task that benefits many downstream NLP and IR …
to the same semantic class, is a critical task that benefits many downstream NLP and IR …
Taxonomy completion via triplet matching network
Automatically constructing taxonomy finds many applications in e-commerce and web
search. One critical challenge is as data and business scope grow in real applications, new …
search. One critical challenge is as data and business scope grow in real applications, new …
Sentiment analysis using machine learning classifiers: evaluation of performance
The modern era internet is full of information pertaining to opinion of people through
applications such as social media, micro blogging sites, review sites, personal blogs etc …
applications such as social media, micro blogging sites, review sites, personal blogs etc …
Hyperexpan: Taxonomy expansion with hyperbolic representation learning
Taxonomies are valuable resources for many applications, but the limited coverage due to
the expensive manual curation process hinders their general applicability. Prior works …
the expensive manual curation process hinders their general applicability. Prior works …