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This paper reports about our work in the NLP Tool Contest @ICON-2017, sharedtask on Sentiment Analysis for Indian Languages (SAIL) (code mixed). Toimplement our system, we have used a machine learning algo-rithm calledMultinomial Na\"ive Bayes trained using n-gram and SentiWordnet features. Wehave also used a small SentiWordnet for English and a small SentiWordnet forBengali. But we have not used any SentiWordnet for Hindi language. We havetested our system on Hindi-English and Bengali-English code mixed social mediadata sets released for the contest. The performance of our system is very closeto the best system participated in the contest. For both Bengali-English andHindi-English runs, our system was ranked at the 3rd position out of allsubmitted runs and awarded the 3rd prize in the contest.

JU_KS@SAIL_CodeMixed-2017: Sentiment Analysis for Indian Code Mixed Social Media Texts