  The increasing use of dialogue agents makes it extremely desirable for them
to understand and acknowledge the implied emotions to respond like humans with
empathy. Chatbots using traditional techniques analyze emotions based on the
context and meaning of the text and lack the understanding of emotions
expressed through face. Emojis representing facial expressions present a
promising way to express emotions. However, none of the AI systems utilizes
emojis for empathetic conversation generation. We propose, SentEmojiBot, based
on the SentEmoji dataset, to generate empathetic conversations with a
combination of emojis and text. Evaluation metrics show that the BERT-based
model outperforms the vanilla transformer model. A user study indicates that
the dialogues generated by our model were understandable and adding emojis
improved empathetic traits in conversations by 9.8%
