Chatbot Optimization using Sentiment Analysis and Timeline Navigation

Wagner da Silva Maciel  Sodré; Julio Cesar  Duarte

doi:10.22456/2175-2745.125825

Authors

Wagner da Silva Maciel Sodré Instituto Militar de Engenharia
Julio Cesar Duarte Instituto Militar de Engenharia https://orcid.org/0000-0001-6656-1247

DOI:

https://doi.org/10.22456/2175-2745.125825

Keywords:

Chatbot, Framework, Sentiment Analysis, Timeline Tree

Abstract

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

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References

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