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Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese.

, , , , , and . PROPOR, volume 12037 of Lecture Notes in Computer Science, page 313-320. Springer, (2020)

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Measuring the Impact of Readability Features in Fake News Detection., , , , , , and . LREC, page 1404-1413. European Language Resources Association, (2020)Towards automatically filtering fake news in Portuguese., , , and . Expert Syst. Appl., (2020)Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese., , , , , and . PROPOR, volume 12037 of Lecture Notes in Computer Science, page 313-320. Springer, (2020)Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results., , , , , and . PROPOR, volume 11122 of Lecture Notes in Computer Science, page 324-334. Springer, (2018)An experimental study based on Fuzzy Systems and Artificial Neural Networks to estimate the importance of reviews about product and services., , , and . IJCNN, page 647-653. IEEE, (2016)Evaluating the importance of Web comments through metrics extraction and opinion mining., , , , , , and . SCCC, page 1-11. IEEE, (2016)Predicting Portuguese Steam Review Helpfulness Using Artificial Neural Networks., , and . WebMedia, page 287-293. ACM, (2016)An Approach for Defining the Author Reputation of Comments on Products., , and . NLDB, volume 10260 of Lecture Notes in Computer Science, page 326-331. Springer, (2017)