Multilingual Sentiment Analysis of Hinglish Tweets

Abstract

Sentiment Analysis has been looked into in an assortment of settings however in this paper, the attention is on supposition examination in Twitter, which represents its own one of kind diffculties, for example, the utilization of slang, shortenings, emojis, hashtags, and client notices. The 140-character limitation on the length of tweets can likewise prompt content that is troublesome notwithstanding for a human to decide its estimation. In particular, this investigation will dissect feeling examination of multilingual (U.S. English and Hindi dialect) Tweets. The present paper says that multilingual supposition investigation is more exact than conclusion examination in a solitary dialect (English or Hindi) while breaking down multilingual tweets. When all is said in done, as of now supposition investigation in multilingual tweets is done against an English word reference. For every one of the experiments in this paper’ explore we will utilize the Python NLTK assessment bundle.