  We present an overview of the EmotionX 2019 Challenge, held at the 7th
International Workshop on Natural Language Processing for Social Media
(SocialNLP), in conjunction with IJCAI 2019. The challenge entailed predicting
emotions in spoken and chat-based dialogues using augmented EmotionLines
datasets. EmotionLines contains two distinct datasets: the first includes
excerpts from a US-based TV sitcom episode scripts (Friends) and the second
contains online chats (EmotionPush). A total of thirty-six teams registered to
participate in the challenge. Eleven of the teams successfully submitted their
predictions performance evaluation. The top-scoring team achieved a micro-F1
score of 81.5% for the spoken-based dialogues (Friends) and 79.5% for the
chat-based dialogues (EmotionPush).
