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Emotion-Based Cross-Variety Irony Detection.

, and . IberLEF@SEPLN, volume 2421 of CEUR Workshop Proceedings, page 264-271. CEUR-WS.org, (2019)

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Neuroscience-Informed Interpretability of Intermediate Layers in Artificial Neural Networks., , , , and . IJCNN, page 1-8. IEEE, (2024)Emotion-Based Cross-Variety Irony Detection., and . IberLEF@SEPLN, volume 2421 of CEUR Workshop Proceedings, page 264-271. CEUR-WS.org, (2019)Web Crawler and Classifier for News Articles., and . MICAI (2), volume 13613 of Lecture Notes in Computer Science, page 127-136. Springer, (2022)Sentiment Analysis in the Rest-Mex Challenge., , , , and . MICAI (2), volume 13613 of Lecture Notes in Computer Science, page 137-147. Springer, (2022)Cascading Classifiers for Twitter Sentiment Analysis with Emotion Lexicons., and . CICLing (2), volume 9624 of Lecture Notes in Computer Science, page 270-280. Springer, (2016)Detection of Violent Events in Social Media: DA-VINCIS 2023., , , and . IberLEF@SEPLN, volume 3496 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Evolutionary Optimization of Ensemble Learning to Determine Sentiment Polarity in an Unbalanced Multiclass Corpus., , , and . Entropy, 22 (9): 1020 (2020)Distribution of Emotional Reactions to News Articles in Twitter., , and . LREC, European Language Resources Association (ELRA), (2018)Predicting emotional reactions to news articles in social networks., and . Comput. Speech Lang., (2019)PoSLemma: How Traditional Machine Learning and Linguistics Preprocessing Aid in Machine Generated Text Detection., , , , and . Computación y Sistemas (CyS), (2023)