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This paper describes the participation of LIMSI UPV team in SemEval-2020 Task9: Sentiment Analysis for Code-Mixed Social Media Text. The proposed approachcompeted in SentiMix Hindi-English subtask, that addresses the problem ofpredicting the sentiment of a given Hindi-English code-mixed tweet. We proposeRecurrent Convolutional Neural Network that combines both the recurrent neuralnetwork and the convolutional network to better capture the semantics of thetext, 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 9thplace (Codalab username: somban) in the SentiMix Hindi-English subtask.

LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis