  This paper reports about our work in the NLP Tool Contest @ICON-2017, shared
task on Sentiment Analysis for Indian Languages (SAIL) (code mixed). To
implement our system, we have used a machine learning algo-rithm called
Multinomial Na\"ive Bayes trained using n-gram and SentiWordnet features. We
have also used a small SentiWordnet for English and a small SentiWordnet for
Bengali. But we have not used any SentiWordnet for Hindi language. We have
tested our system on Hindi-English and Bengali-English code mixed social media
data sets released for the contest. The performance of our system is very close
to the best system participated in the contest. For both Bengali-English and
Hindi-English runs, our system was ranked at the 3rd position out of all
submitted runs and awarded the 3rd prize in the contest.
