Domain Identification Through Sentiment Analysis

2019
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Authors: Ricardo Martins; José João Almeida; Pedro Henriques; Paulo Novais
Published in: Distributed Computing and Artificial Intelligence, 15th International Conference
Publisher: Springer International Publishing

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Abstract

When dealing with chatbots, domain identification is an important feature to adapt the interactions between user and computer in order to increase the reliability of the communication and, consequently, the audience and decrease its rejection avoiding misunderstandings.

In order to adapt to different domains, the writing style will be different for the same author. For example, the same person in the role of a student writes to his professor in a different style than he does for his brother.

This article presents a process that uses sentiment analysis to identify the average emotional profile of the communication scenario where the conversation is done. Using Natural Language Processing and Machine Learning techniques, it was possible to obtain an index of 96.21% of correct classifications in the identification of where these communications have occurred only analysing the emotional profile of these texts.

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previous chapter A Framework for Group Decision-Making: Including Cognitive and Affective Aspects in a MCDA Method for Alternatives Rejection

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Title: Domain Identification Through Sentiment Analysis
Authors: Ricardo Martins
José João Almeida
Pedro Henriques
Paulo Novais
Publisher: Springer International Publishing
Book: Distributed Computing and Artificial Intelligence, 15th International Conference
Print ISBN: 978-3-319-94648-1

Electronic ISBN: 978-3-319-94649-8

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-319-94649-8_33

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