INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis
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- @InProceedings{conf/semeval/Miranda-Jimenez17,
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author = "Sabino Miranda-Jimenez and Mario Graff and
Eric Sadit Tellez and Daniela Moctezuma",
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title = "{INGEOTEC} at {SemEval 2017} Task 4: A {B4MSA}
Ensemble based on Genetic Programming for Twitter
Sentiment Analysis",
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booktitle = "Proceedings of the 11th International Workshop on
Semantic Evaluation, SemEval@ACL 2017",
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year = "2017",
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editor = "Steven Bethard and Marine Carpuat and
Marianna Apidianaki and Saif M. Mohammad and Daniel M. Cer and
David Jurgens",
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pages = "771--776",
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address = "Vancouver, Canada",
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month = aug # " 3-4",
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publisher = "Association for Computational Linguistics",
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keywords = "genetic algorithms, genetic programming",
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bibdate = "2017-08-16",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/semeval/semeval2017.html#Miranda-Jimenez17",
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URL = "http://aclanthology.info/volumes/proceedings-of-the-11th-international-workshop-on-semantic-evaluation-semeval-2017",
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URL = "http://aclweb.org/anthology/S17-2",
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DOI = "doi:10.18653/v1/S17-2130",
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size = "6 pages",
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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