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DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets.

, , , and . SemEval@NAACL-HLT, page 466-469. Association for Computational Linguistics, (2018)

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DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis., , , and . SemEval@ACL, page 704-708. Association for Computational Linguistics, (2017)DUTH at SemEval-2018 Task 2: Emoji Prediction in Tweets., , , and . SemEval@NAACL-HLT, page 466-469. Association for Computational Linguistics, (2018)Automating dairy production lines with the yoghurt cups recognition and detection process in the Industry 4.0 era., , , , , , , and . ISM, volume 217 of Procedia Computer Science, page 918-927. Elsevier, (2023)Examining the Critical Success Factors for ERP Implementation: An Explanatory Study Conducted in SMEs., , , and . AITM/ISM@FedCSIS, volume 277 of Lecture Notes in Business Information Processing, page 179-201. Springer, (2016)DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification., , and . SemEval@NAACL-HLT, page 1155-1159. Association for Computational Linguistics, (2019)DUTH at SemEval-2023 Task 9: An Ensemble Approach for Twitter Intimacy Analysis., , , and . SemEval@ACL, page 1225-1230. Association for Computational Linguistics, (2023)Investigation and Identification of Quality Dimensions in e-Business., , , and . KMIS, page 113-119. ScitePress, (2019)A Comparison of Pre-processing Techniques for Twitter Sentiment Analysis., , and . TPDL, volume 10450 of Lecture Notes in Computer Science, page 394-406. Springer, (2017)Integrating Multisource Data for The Assessment of Urban Aquatic Ecosystems Health., , , , , , and . IGARSS, page 972-974. IEEE, (2024)Factors affecting the intention to use e-Government services., , and . FedCSIS, volume 5 of Annals of Computer Science and Information Systems, page 1489-1498. IEEE, (2015)