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

Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task @ICON-2017