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GTI at SemEval-2016 Task 4: Training a Naive Bayes Classifier using Features of an Unsupervised System.

, , , , and . SemEval@NAACL-HLT, page 115-119. The Association for Computer Linguistics, (2016)

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Evaluation of online emoji description resources for sentiment analysis purposes., , , , and . Expert Syst. Appl., (2021)Identifying Banking Transaction Descriptions via Support Vector Machine Short-Text Classification Based on a Specialized Labelled Corpus., , , , and . IEEE Access, (2020)Automatic Natural Language Generation Applied to Alternative and Augmentative Communication for Online Video Content Services using SimpleNLG for Spanish., , , , and . W4A, page 19:1-19:4. ACM, (2018)Corrigendum to Ünsupervised method for sentiment analysis in online texts" Expert Systems with Applications 58 (2016) 57-75., , , , and . Expert Syst. Appl., (2016)Unsupervised method for sentiment analysis in online texts., , , , and . Expert Syst. Appl., (2016)Creating emoji lexica from unsupervised sentiment analysis of their descriptions., , , , and . Expert Syst. Appl., (2018)GTI at SemEval-2016 Task 4: Training a Naive Bayes Classifier using Features of an Unsupervised System., , , , and . SemEval@NAACL-HLT, page 115-119. The Association for Computer Linguistics, (2016)A library for automatic natural language generation of spanish texts., , , , and . Expert Syst. Appl., (2019)GTI at TASS 2016: Supervised Approach for Aspect Based Sentiment Analysis in Twitter., , , , and . TASS@SEPLN, volume 1702 of CEUR Workshop Proceedings, page 53-57. CEUR-WS.org, (2016)Differentiating users by language and location estimation in sentiment analisys of informal text during major public events., , , , and . Expert Syst. Appl., (2019)