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

, , , , , и . PROPOR, том 12037 из Lecture Notes in Computer Science, стр. 313-320. Springer, (2020)

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Teresa S L R A Terreri

Santos Amaro

Antonio Santos

Joana Santos

Sofia Santos

 

Другие публикации лиц с тем же именем

Measuring the Impact of Readability Features in Fake News Detection., , , , , , и . LREC, стр. 1404-1413. European Language Resources Association, (2020)Contributions to the Study of Fake News in Portuguese: New Corpus and Automatic Detection Results., , , , , и . PROPOR, том 11122 из Lecture Notes in Computer Science, стр. 324-334. Springer, (2018)Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese., , , , , и . PROPOR, том 12037 из Lecture Notes in Computer Science, стр. 313-320. Springer, (2020)Puntuguese: A Corpus of Puns in Portuguese with Micro-edits., , , , , , , , и . LREC/COLING, стр. 13332-13343. ELRA and ICCL, (2024)An experimental study based on Fuzzy Systems and Artificial Neural Networks to estimate the importance of reviews about product and services., , , и . IJCNN, стр. 647-653. IEEE, (2016)An Approach for Defining the Author Reputation of Comments on Products., , и . NLDB, том 10260 из Lecture Notes in Computer Science, стр. 326-331. Springer, (2017)Predicting Portuguese Steam Review Helpfulness Using Artificial Neural Networks., , и . WebMedia, стр. 287-293. ACM, (2016)Evaluating the importance of Web comments through metrics extraction and opinion mining., , , , , , и . SCCC, стр. 1-11. IEEE, (2016)