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Predicting Portuguese Steam Review Helpfulness Using Artificial Neural Networks.

, , and . WebMedia, page 287-293. ACM, (2016)

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Exploring Unsupervised Learning Towards Extractive Summarization of User Reviews., and . WebMedia, page 217-220. ACM, (2017)Team PiLN at ABSAPT 2022: Lexical and BERT Strategies for Aspect-Based Sentiment Analysis in Portuguese., , , , and . IberLEF@SEPLN, volume 3202 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)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)A fuzzy system-based approach to estimate the importance of online customer reviews., , and . FUZZ-IEEE, page 1-8. IEEE, (2015)A semiautomatic model for classification of IT services., and . SCCC, page 1-8. IEEE, (2016)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)Essay-BR: a Brazilian Corpus of Essays., , and . CoRR, (2021)A Study of the Influence of Textual Features in Learning Medical Prior Authorization., , , , , and . CBMS, page 56-61. IEEE, (2019)Identifying of user interface elements from use case descriptions., , and . CLEI, page 1-6. IEEE, (2012)Using NLP Techniques for Identifying GUI Prototypes and UML Diagrams From Use Cases., , and . SEKE, page 48-53. Knowledge Systems Institute Graduate School, (2013)