Corpus ID: 199448337

Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis

@inproceedings{Luque2019AtalayaAT,
  title={Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis},
  author={Franco Mart{\'i}n Luque},
  booktitle={IberLEF@SEPLN},
  year={2019}
}
  • F. Luque
  • Published in IberLEF@SEPLN 25 September 2019
  • Computer Science
In this article we describe our participation in TASS 2019, a shared task aimed at the detection of sentiment polarity of Spanish tweets. We combined different representations such as bag-of-words, bag-of-characters, and tweet embeddings. In particular, we trained robust subword-aware word embeddings and computed tweet representations using a weighted-averaging strategy. We also used two data augmentation techniques to deal with data scarcity: two-way translation augmentation, and instance… Expand
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References

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This work has been partially supported by a grant from the Fondo Europeo de Desarrollo Regional (FEDER), the projects REDES (TIN2015-65136-C2-1-R, TIN2015-65136-C2-2-R) and SMART-DASCI… Expand
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