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Creating emoji lexica from unsupervised sentiment analysis of their descriptions., , , , и . Expert Syst. Appl., (2018)GTI at SemEval-2016 Task 4: Training a Naive Bayes Classifier using Features of an Unsupervised System., , , , и . SemEval@NAACL-HLT, стр. 115-119. The Association for Computer Linguistics, (2016)GTI at TASS 2016: Supervised Approach for Aspect Based Sentiment Analysis in Twitter., , , , и . TASS@SEPLN, том 1702 из CEUR Workshop Proceedings, стр. 53-57. CEUR-WS.org, (2016)Creating emoji lexica from unsupervised sentiment analysis of their descriptions., , , , и . CoRR, (2024)GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis., , , , и . SemEval@NAACL-HLT, стр. 306-311. The Association for Computer Linguistics, (2016)Evaluation of online emoji description resources for sentiment analysis purposes., , , , и . Expert Syst. Appl., (2021)Automatic Natural Language Generation Applied to Alternative and Augmentative Communication for Online Video Content Services using SimpleNLG for Spanish., , , , и . W4A, стр. 19:1-19:4. ACM, (2018)Differentiating users by language and location estimation in sentiment analisys of informal text during major public events., , , , и . Expert Syst. Appl., (2019)GTI: An Unsupervised Approach for Sentiment Analysis in Twitter., , , , и . SemEval@NAACL-HLT, стр. 533-538. The Association for Computer Linguistics, (2015)GTI-Gradiant at TASS 2015: A Hybrid Approach for Sentiment Analysis in Twitter., , , , , , и . TASS@SEPLN, том 1397 из CEUR Workshop Proceedings, стр. 35-40. CEUR-WS.org, (2015)