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Revista de Computo Aplicado
Article . 2020 . Peer-reviewed
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Procesamiento del lenguaje natural con Python

Authors: Miguel Ángel CAMACHO-ÁLVAREZ; Ernesto NAVARRO-ÁLVAREZ;

Procesamiento del lenguaje natural con Python

Abstract

In this work, we present the task of developing a chatbot that processes the user’s requests in Natural Language (NL) that the Facebook Page of the University of Colima receives every day. Commonly, a chatbot only processes the preprogrammed requests. To remove this limitation, we propose to develop an Artificial Intelligence (AI) that learns through user interactions to process new requests. We use NLTK, which is a Python library that focuses on the NLP and support AI. For the purpose to reduce the response time to the users.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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