  Sentiment analysis is essential in many real-world applications such as
stance detection, review analysis, recommendation system, and so on. Sentiment
analysis becomes more difficult when the data is noisy and collected from
social media. India is a multilingual country; people use more than one
languages to communicate within themselves. The switching in between the
languages is called code-switching or code-mixing, depending upon the type of
mixing. This paper presents overview of the shared task on sentiment analysis
of code-mixed data pairs of Hindi-English and Bengali-English collected from
the different social media platform. The paper describes the task, dataset,
evaluation, baseline and participant's systems.
