Predict Emoji Combination with Retrieval Strategy
This addresses the challenge of understanding emoji usage as a language in social media, though it is incremental in improving prediction accuracy.
The paper tackled the problem of predicting emoji combinations from text by proposing a Retrieval Strategy algorithm, which improved the F1 score from 0.141 to 0.204 on this task.
As emojis are widely used in social media, people not only use an emoji to express their emotions or mention things but also extend its usage to represent complicate emotions, concepts or activities by combining multiple emojis. In this work, we study how emoji combination, a consecutive emoji sequence, is used like a new language. We propose a novel algorithm called Retrieval Strategy to predict what emoji combination follows given a short text as context. Our algorithm treats emoji combinations as phrase in language, ranking sets of emoji combinations like retrieving words from dictionary. We show that our algorithm largely improves the F1 score from 0.141 to 0.204 on emoji combination prediction task.