Dataset Groups Activity Stream SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model The dataset used in the paper is a conversation emotion recognition dataset, which includes two benchmark datasets: IEMOCAP and MELD. BibTex: @dataset{Zaijing_Li_and_Fengxiao_Tang_and_Tieyu_Sun_and_Yusen_Zhu_and_Ming_Zhao_2025, abstract = {The dataset used in the paper is a conversation emotion recognition dataset, which includes two benchmark datasets: IEMOCAP and MELD.}, author = {Zaijing Li and Fengxiao Tang and Tieyu Sun and Yusen Zhu and Ming Zhao}, doi = {10.57702/jjj3xpz2}, institution = {No Organization}, keyword = {'SEOVER', 'conversation emotion recognition', 'sentence-level emotion orientation vector'}, month = {jan}, publisher = {TIB}, title = {SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model}, url = {https://service.tib.eu/ldmservice/dataset/seover--sentence-level-emotion-orientation-vector-based-conversation-emotion-recognition-model}, year = {2025} }
