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Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App.

, , , , and . INTERSPEECH, page 827-828. ISCA, (2017)

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Reducing Gender Bias in Abusive Language Detection., , and . EMNLP, page 2799-2804. Association for Computational Linguistics, (2018)Magnetophoretic Sorting of Single Cell-Containing Microdroplets., , , , and . Micromachines, 7 (4): 56 (2016)Finding Good Representations of Emotions for Text Classification.. CoRR, (2018)Simultaneous frequency and depth adaptation of notch filter for controlling damped vibrations., , , , , , , , and . CCTA, page 408-413. IEEE, (2017)One-step and Two-step Classification for Abusive Language Detection on Twitter., and . ALW@ACL, page 41-45. Association for Computational Linguistics, (2017)PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags., , and . SemEval@NAACL-HLT, page 264-272. Association for Computational Linguistics, (2018)Application of discrete derivative method with a new frequency mapping technique for adaptive-notch-filter based vibration control in industrial servo systems., , , , , , , , and . CCTA, page 414-419. IEEE, (2017)Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training., , , , and . WASSA@EMNLP, page 292-298. Association for Computational Linguistics, (2018)Coordinated control of the power compensation equipments located in local substations of the district unit power system., , and . ICARCV, page 1594-1597. IEEE, (2010)Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App., , , , and . INTERSPEECH, page 827-828. ISCA, (2017)