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It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data., , , , , , и . APSIPA ASC, стр. 1972-1977. IEEE, (2023)Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies., , и . AffCon@AAAI, том 2328 из CEUR Workshop Proceedings, стр. 28-38. CEUR-WS.org, (2019)Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis., , , , , , и . WWW (Companion Volume), стр. 947-950. ACM, (2024)Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts., , и . ICDM Workshops, стр. 1042-1049. IEEE Computer Society, (2017)What BERTs and GPTs know about your brand? Probing contextual language models for affect associations., , , , и . DeeLIO@NAACL-HLT, стр. 119-128. Association for Computational Linguistics, (2021)Multimodal Approach to Predicting Media Memorability., , , и . MediaEval, том 2283 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Assessing the Need of Augmenting Video Lectures with Supporting Information., , , , и . HCI (14), том 8523 из Lecture Notes in Computer Science, стр. 238-249. Springer, (2014)Lights, Camera, but No Action: Exploring Affective Audio-Visual Features of Educational Videos (Abstract Only)., и . SIGCSE, стр. 686. ACM, (2016)Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper)., , , , и . DE-FACTIFY@AAAI, том 3199 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Multimodal Continuous Prediction of Emotions in Movies using Long Short-Term Memory Networks., , , и . ICMR, стр. 413-419. ACM, (2018)