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Emojis have become ubiquitous in digital communication, due to their visualappeal as well as their ability to vividly convey human emotion, among otherfactors. The growing prominence of emojis in social media and other instantmessaging also leads to an increased need for systems and tools to operate ontext containing emojis. In this study, we assess this support by consideringtest sets of tweets with emojis, based on which we perform a series ofexperiments investigating the ability of prominent NLP and text processingtools to adequately process them. In particular, we consider tokenization,part-of-speech tagging, as well as sentiment analysis. Our findings show thatmany tools still have notable shortcomings when operating on text containingemojis.

Assessing Emoji Use in Modern Text Processing Tools