INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{conf/semeval/Miranda-Jimenez17,

• author = "Sabino Miranda-Jimenez and Mario Graff and Eric Sadit Tellez and Daniela Moctezuma",
• title = "{INGEOTEC} at {SemEval 2017} Task 4: A {B4MSA} Ensemble based on Genetic Programming for Twitter Sentiment Analysis",
• booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017",
• year = "2017",
• editor = "Steven Bethard and Marine Carpuat and Marianna Apidianaki and Saif M. Mohammad and Daniel M. Cer and David Jurgens",
• pages = "771--776",
• address = "Vancouver, Canada",
• month = aug # " 3-4",
• publisher = "Association for Computational Linguistics",
• keywords = "genetic algorithms, genetic programming",
• bibdate = "2017-08-16",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/semeval/semeval2017.html#Miranda-Jimenez17",
• URL = "http://aclanthology.info/volumes/proceedings-of-the-11th-international-workshop-on-semantic-evaluation-semeval-2017",
• URL = "http://aclweb.org/anthology/S17-2",
• DOI = "doi:10.18653/v1/S17-2130",
• size = "6 pages",
• abstract = "This paper describes the system used in SemEval-2017 Task 4 (Subtask A): Message Polarity Classification for both English and Arabic languages. Our proposed system is an ensemble of two layers, the first one uses our generic framework for multilingual polarity classification (B4MSA) and the second layer combines all the decision function values predicted by B4MSA systems using a non-linear function evolved using a Genetic Programming system, EvoDAG. With this approach, the best performances reached by our system were macro-recall 0.68 (English) and 0.477 (Arabic) which set us in sixth and fourth positions in the results table, respectively.",

}

Genetic Programming entries for Sabino Miranda-Jimenez Mario Graff Guerrero Eric Sadit Tellez Daniela Alejandra Moctezuma Ochoa

Citations