使用情绪分析和时间线导航的聊天机器人优化

Q4 Computer Science
Wagner da Silva Maciel Sodré, J. C. Duarte
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引用次数: 0

摘要

聊天机器人或会话代理是一种可以使用自然语言(如英语)与人类用户交互或“聊天”的软件。自第一个聊天机器人开发以来,已经创建了许多聊天机器人,但它们的大多数问题仍然存在,比如向用户提供正确的答案和用户接受本身。考虑到这些事实,在这项工作中,我们提出了一个聊天机器人构建框架,该框架考虑使用情绪分析和树时间线来提供更好的聊天机器人答案。例如,正如我们的实验中所示,当用户情绪非常消极时,可以将其发送给人类服务员,甚至当用户情绪不那么消极时,尝试树时间线的另一个分支作为替代答案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chatbot Optimization using Sentiment Analysis and Timeline Navigation
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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来源期刊
Revista de Informatica Teorica e Aplicada
Revista de Informatica Teorica e Aplicada Computer Science-Computer Science (all)
CiteScore
0.90
自引率
0.00%
发文量
14
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