  During online chats, body-language and vocal characteristics are not part of
the communication mechanism making it challenging to facilitate an accurate
interpretation of feelings, emotions, and attitudes. The use of emojis to
express emotional feeling is an alternative approach in these types of
communication. In this project, we focus on modeling a customer's emotion in an
online messaging session with a chatbot. We use Affect Control Theory (ACT) to
predict emotional change during the interaction. To let the customer use
emojis, we also extend the affective dictionaries used by ACT. For this
purpose, we mapped Emoji2vec embedding to the affective space. Our framework
can find emotional change during messaging and how a customer's reaction is
changed accordingly.
