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Detecting the Degree of Risk in Online Market Based on Satisfaction of Twitter Users.

, , , and . ICCCI, volume 12496 of Lecture Notes in Computer Science, page 58-70. Springer, (2020)

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Time-Frequency Social Data Analytics for Understanding Social Big Data., , and . IDC, volume 570 of Studies in Computational Intelligence, page 223-228. Springer, (2014)A New Approach for Predicting an Important User on a Topic on Twitter., , , and . INISTA, page 1-6. IEEE, (2020)A named entity recognition approach for tweet streams using active learning., , , and . J. Intell. Fuzzy Syst., 32 (2): 1277-1287 (2017)MICL-UNet: Multi-Input Cross-Layer UNet Model for Classification of Diseases in Agriculture., , , , and . IEEE Access, (2023)Computational Intelligence Tools for Processing Collective Data., , and . J. Univers. Comput. Sci., 22 (6): 735-741 (2016)A Method for Improving Word Representation Using Synonym Information., , , and . ICCS (3), volume 12744 of Lecture Notes in Computer Science, page 333-346. Springer, (2021)Image Channel as an Input Method for Deep Learning Ensemble., , and . INISTA, page 1-5. IEEE, (2021)ETop3PPE: EPOCh's Top-Three Prediction Probability Ensemble Method for Deep Learning Classification Models., , , and . ACIIDS (1), volume 13757 of Lecture Notes in Computer Science, page 222-233. Springer, (2022)Understanding Information Propagation on Online Social Tagging Systems: A Case Study on Flickr., , , and . ACIIDS (2), volume 7197 of Lecture Notes in Computer Science, page 166-174. Springer, (2012)Detecting the Degree of Risk in Online Market Based on Satisfaction of Twitter Users., , , and . ICCCI, volume 12496 of Lecture Notes in Computer Science, page 58-70. Springer, (2020)