Chatbot Optimization using Sentiment Analysis and Timeline Navigation

A chatbot or conversational agent is a software that can interact ``chat'' with human user using natural language, like English, for instance. Since the first developed, many have been created but most of their problems still persist, providing right answer to and acceptance itself. Considering such facts, in this work, we present chatbot-building framework considers use sentiment analysis tree timelines provide better answer. For instance, as presented our experiments, be addressed attendant when its very negative, even try another branch timeline, an alternative answer, whenever less negative.