We present three methods developed for the Shared Task on Sarcasm and Sentiment Detection in Arabic.
 We present a baseline that uses character n-gram features.
 We also propose two more sophisticated methods: a recurrent neural network with a word level representation and an ensemble classifier relying on word and character-level features.
  We chose to present results from an ensemble classifier but it was not very successful as compared to the best systems : 22th/37 on sarcasm detection and 15th/22 on sentiment detection. It finally appeared that our baseline could have easily been tuned and achieve much better results.