About: covid:PMC7274655

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An Entity of Type : owl:Thing, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
Creator	Bouchon-Meunier, Bernadette Lesot, Marie-Jeanne Vieira, Susana Yager, Ronald Carvalho, João Reformat, Marek Wilbik, Anna Diaz-Garcia, Jose Fernandez-Basso, Carlos Martin-Bautista, Maria Ruiz, M.
is schema:about of	named entity 'Text' named entity 'tweets' named entity 'execution time' named entity 'Apriori' named entity 'knowledge base' named entity 'fake news' named entity 'fake news' named entity 'fake news' named entity 'fake news' named entity 'NLP' named entity 'subject matter' named entity 'fake news' named entity 'fake news' named entity 'set of words' named entity 'fake news' named entity 'extract information' named entity 'probability' named entity 'neural networks' named entity 'word frequencies' named entity 'data warehouses' named entity 'Twitter' named entity 'deep learning' named entity 'certainty factor' named entity 'classification methods' named entity 'Machine Learning methods' named entity 'Natural Language Processing' named entity 'association rule' named entity 'classification algorithms' named entity 'text analysis' named entity 'Twitter' named entity 'frequent itemset' named entity 'rule-based' named entity 'transactional database' named entity 'association rules' named entity 'Association rules' named entity 'subset' named entity 'association rules' named entity 'association rules' named entity 'fake news' named entity 'random forest' named entity 'text mining' named entity 'text mining' named entity 'visualization methods' named entity 'pattern mining' named entity 'Data Mining techniques' named entity 'association rules' named entity 'transactional database' named entity 'association rule' named entity 'Text Mining' named entity 'association rules' named entity 'fake news' named entity 'Data Mining' named entity 'fake news' named entity 'expert systems' named entity 'certainty factor' named entity 'Machine Learning' named entity 'Certainty factor' named entity 'association rule' named entity 'user-friendly' named entity 'algorithm' named entity 'certainty factor' named entity 'network topologies' named entity 'decision-making processes' named entity 'correlation' named entity 'execution time' named entity 'neural network models' named entity 'association rule mining' named entity 'elections in the United States' named entity 'transactional database' named entity 'pre-processing' named entity 'association rules' named entity 'fake news' named entity 'Language detection' named entity 'rule-based' named entity 'linear regression' named entity 'stop-words' named entity '2016 US presidential election campaign' named entity 'database' named entity 'database' named entity 'association rule' named entity 'workflow' named entity 'fake news' named entity 'visualization methods' named entity 'fake news' named entity 'fake news' named entity 'classifier' named entity 'Text Mining' named entity 'decision trees' named entity 'twitter'

Attributes

Values

Creator

Bouchon-Meunier, Bernadette
Lesot, Marie-Jeanne
Vieira, Susana
Yager, Ronald
Carvalho, João
Reformat, Marek
Wilbik, Anna
Diaz-Garcia, Jose
Fernandez-Basso, Carlos
Martin-Bautista, Maria
Ruiz, M.

is schema:about of

named entity 'Text'
named entity 'tweets'
named entity 'execution time'
named entity 'Apriori'
named entity 'knowledge base'
named entity 'fake news'
named entity 'fake news'
named entity 'fake news'
named entity 'fake news'
named entity 'NLP'
named entity 'subject matter'
named entity 'fake news'
named entity 'fake news'
named entity 'set of words'
named entity 'fake news'
named entity 'extract information'
named entity 'probability'
named entity 'neural networks'
named entity 'word frequencies'
named entity 'data warehouses'
named entity 'Twitter'
named entity 'deep learning'
named entity 'certainty factor'
named entity 'classification methods'
named entity 'Machine Learning methods'
named entity 'Natural Language Processing'
named entity 'association rule'
named entity 'classification algorithms'
named entity 'text analysis'
named entity 'Twitter'
named entity 'frequent itemset'
named entity 'rule-based'
named entity 'transactional database'
named entity 'association rules'
named entity 'Association rules'
named entity 'subset'
named entity 'association rules'
named entity 'association rules'
named entity 'fake news'
named entity 'random forest'
named entity 'text mining'
named entity 'text mining'
named entity 'visualization methods'
named entity 'pattern mining'
named entity 'Data Mining techniques'
named entity 'association rules'
named entity 'transactional database'
named entity 'association rule'
named entity 'Text Mining'
named entity 'association rules'
named entity 'fake news'
named entity 'Data Mining'
named entity 'fake news'
named entity 'expert systems'
named entity 'certainty factor'
named entity 'Machine Learning'
named entity 'Certainty factor'
named entity 'association rule'
named entity 'user-friendly'
named entity 'algorithm'
named entity 'certainty factor'
named entity 'network topologies'
named entity 'decision-making processes'
named entity 'correlation'
named entity 'execution time'
named entity 'neural network models'
named entity 'association rule mining'
named entity 'elections in the United States'
named entity 'transactional database'
named entity 'pre-processing'
named entity 'association rules'
named entity 'fake news'
named entity 'Language detection'
named entity 'rule-based'
named entity 'linear regression'
named entity 'stop-words'
named entity '2016 US presidential election campaign'
named entity 'database'
named entity 'database'
named entity 'association rule'
named entity 'workflow'
named entity 'fake news'
named entity 'visualization methods'
named entity 'fake news'
named entity 'fake news'
named entity 'classifier'
named entity 'Text Mining'
named entity 'decision trees'
named entity 'twitter'

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