Abstract: Sentiment analysis fundamentally implies the way toward recognizing and characterizing an assessment or explanation in light of the extremity communicated in it particularly to decide the sentiments communicated by the reviewer. In this new period of the web with consistently developing information as the content, we require an approach to group the content into positive, negative and once in a while unbiased. These feelings or sentiments are of high incentive to organizations, establishments, and different associations to enhance their administrations and items in view of clients' input. 

Keywords: NLP, Deep learning, CNN, Sentiment analysis, Twitter data

| DOI: 10.17148/IJIREEICE.2019.7206