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        <title>Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter</title>
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    <abstract>This paper describes the Amobee sentiment analysis system, adapted to compete in SemEval 2017 task 4. The system consists of two parts: a supervised training of RNN models based on a Twitter sentiment treebank, and the use of feedforward NN, Naive Bayes and logistic regression classifiers to produce predictions for the different sub-tasks. The algorithm reached the 3rd place on the 5-label classification task (sub-task C).</abstract>
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%0 Conference Proceedings
%T Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter
%A Rozental, Alon
%A Fleischer, Daniel
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 aug
%I Association for Computational Linguistics
%C Vancouver, Canada
%F rozental-fleischer-2017-amobee
%X This paper describes the Amobee sentiment analysis system, adapted to compete in SemEval 2017 task 4. The system consists of two parts: a supervised training of RNN models based on a Twitter sentiment treebank, and the use of feedforward NN, Naive Bayes and logistic regression classifiers to produce predictions for the different sub-tasks. The algorithm reached the 3rd place on the 5-label classification task (sub-task C).
%R 10.18653/v1/S17-2108
%U https://aclanthology.org/S17-2108
%U https://doi.org/10.18653/v1/S17-2108
%P 653-658

Markdown (Informal)

[Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter](https://aclanthology.org/S17-2108) (Rozental & Fleischer, SemEval 2017)

• Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter (Rozental & Fleischer, SemEval 2017)

ACL

• Alon Rozental and Daniel Fleischer. 2017. Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 653–658, Vancouver, Canada. Association for Computational Linguistics.