TY - JOUR
T1 - A NONLINEAR MODEL for A SMART SEMANTIC BROWSER BOT for A TEXT ATTRIBUTE RECOGNITION
AU - Aguilera, R. Carreño
AU - Mosqueda, M. A.Acevedo
AU - Mosqueda, M. E.Acevedo
AU - Coronel, S. L.Gomez
AU - Badillo, I. Algredo
AU - Bautista, D. Pacheco
AU - Patiño Ortiz, Miguel
AU - Ortiz, J. Patiño
AU - Cruz, M. A.Martinez
N1 - Publisher Copyright:
© 2020 The Author(s).
PY - 2020/3/1
Y1 - 2020/3/1
N2 - In spite of the advances in the state of the art in semantic artificial intelligence applications, there is still a long way to go to bring it to a level of mass adoption. Thus, in order to contribute to the advancement of this topic, this study develops a feasible model with a potential scalability for semantic applications' mass adoption, specifically for news or statement cluster attribute identification, either positive, negative or neutral. This paper proposes a disruptive system based on Blockchain using a Semantic Browser Expert System Bot with artificial intelligence called Blockchain Semantic Browser Expert System (BSBES) to look for and analyze relevant information that significantly represents the cryptocurrencies adoption patterns. The artificial intelligence in this study consists of a deep learning neural network to process the input information to identify the news pattern in a semantic way using deep learning based on two aspects of the news: technical aspect and adoption aspect of the cryptocurrencies. BSBES performance is achieved based on deep learning tools, and scalability is supported by a blockchain system including a stability study.
AB - In spite of the advances in the state of the art in semantic artificial intelligence applications, there is still a long way to go to bring it to a level of mass adoption. Thus, in order to contribute to the advancement of this topic, this study develops a feasible model with a potential scalability for semantic applications' mass adoption, specifically for news or statement cluster attribute identification, either positive, negative or neutral. This paper proposes a disruptive system based on Blockchain using a Semantic Browser Expert System Bot with artificial intelligence called Blockchain Semantic Browser Expert System (BSBES) to look for and analyze relevant information that significantly represents the cryptocurrencies adoption patterns. The artificial intelligence in this study consists of a deep learning neural network to process the input information to identify the news pattern in a semantic way using deep learning based on two aspects of the news: technical aspect and adoption aspect of the cryptocurrencies. BSBES performance is achieved based on deep learning tools, and scalability is supported by a blockchain system including a stability study.
KW - Blockchain
KW - Expert System
KW - Hashtag
KW - Semantic Browser
UR - http://www.scopus.com/inward/record.url?scp=85079489832&partnerID=8YFLogxK
U2 - 10.1142/S0218348X20500450
DO - 10.1142/S0218348X20500450
M3 - Artículo
AN - SCOPUS:85079489832
SN - 0218-348X
VL - 28
JO - Fractals
JF - Fractals
IS - 2
M1 - 2050045
ER -