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        <title>LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis</title>
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    <abstract>This paper describes the participation of LIMSI_UPV team in SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text. The proposed approach competed in SentiMix HindiEnglish subtask, that addresses the problem of predicting the sentiment of a given Hindi-English code-mixed tweet. We propose Recurrent Convolutional Neural Network that combines both the recurrent neural network and the convolutional network to better capture the semantics of the text, for code-mixed sentiment analysis. The proposed system obtained 0.69 (best run) in terms of F1 score on the given test data and achieved the 9th place (Codalab username: somban) in the SentiMix Hindi-English subtask.</abstract>
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%0 Conference Proceedings
%T LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis
%A Banerjee, Somnath
%A Ghannay, Sahar
%A Rosset, Sophie
%A Vilnat, Anne
%A Rosso, Paolo
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F banerjee-etal-2020-limsi
%X This paper describes the participation of LIMSI_UPV team in SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text. The proposed approach competed in SentiMix HindiEnglish subtask, that addresses the problem of predicting the sentiment of a given Hindi-English code-mixed tweet. We propose Recurrent Convolutional Neural Network that combines both the recurrent neural network and the convolutional network to better capture the semantics of the text, for code-mixed sentiment analysis. The proposed system obtained 0.69 (best run) in terms of F1 score on the given test data and achieved the 9th place (Codalab username: somban) in the SentiMix Hindi-English subtask.
%R 10.18653/v1/2020.semeval-1.172
%U https://aclanthology.org/2020.semeval-1.172
%U https://doi.org/10.18653/v1/2020.semeval-1.172
%P 1281-1287

Markdown (Informal)

[LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis](https://aclanthology.org/2020.semeval-1.172) (Banerjee et al., SemEval 2020)

• LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis (Banerjee et al., SemEval 2020)

ACL

• Somnath Banerjee, Sahar Ghannay, Sophie Rosset, Anne Vilnat, and Paolo Rosso. 2020. LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 1281–1287, Barcelona (online). International Committee for Computational Linguistics.