Corpus ID: 52299092

Atalaya at TASS 2018: Sentiment Analysis with Tweet Embeddings and Data Augmentation

@inproceedings{Luque2018AtalayaAT,
  title={Atalaya at TASS 2018: Sentiment Analysis with Tweet Embeddings and Data Augmentation},
  author={Franco M. Luque and J. M. P{\'e}rez},
  booktitle={TASS@SEPLN},
  year={2018}
}
TASS 2018 workshop proposes different challenges on semantic analysis in Spanish. This work presents our participation as team Atalaya in the task of polarity classification of tweets. We followed standard techniques in preprocessing, representation and classification, and also explored some novel ideas. In particular, to obtain tweet embeddings we trained subword-aware word embeddings and use a weighted scheme to average them. To deal with overfitting problems caused by training data scarcity… Expand
7 Citations
Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis
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  • IberLEF@SEPLN
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Atalaya at SemEval 2019 Task 5: Robust Embeddings for Tweet Classification
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Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus
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Neural Language Model Based Training Data Augmentation for Weakly Supervised Early Rumor Detection
  • Sooji Han, Jie Gao, F. Ciravegna
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Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms
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Overview of TASS 2018: Opinions, Health and Emotions
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