In July 2021, 20.69 percent of monitored tweets contained at least one emoji, up from 20.15 percent in July of the previous year. Between 2016 and 2021, emoji usage on the micro-blogging platform increased by over 42 percent. Overall, 2018 to 2019 saw the largest year-on-year increase in emoji usage on Twitter.

This dataset is created by leveraging the social media platforms such as twitter for developing corpus across multiple languages. The corpus creation methodology is applicable for resource-scarce languages provided the speakers of that particular language are active users on social media platforms. We present an approach to extract social media microblogs such as tweets (Twitter). We created corpus for multilingual sentiment analysis and emoji prediction in Hindi, Bengali and Telugu. Further, we perform and analyze multiple NLP tasks utilizing the corpus to get interesting observations.