Comparative studies of AIML

Wei, Yungang; Zhu, Xiaoming; Sun, Bo; Boying, Sun

doi:10.1109/icsai.2016.7810979

Cited by 4 publications

(2 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…AIML menggambarkan sekelompok objek data yang dikenal sebagai objek AIML dan menggambarkan perilaku program dalam menangani objek-objek ini. Perilaku ini adalah corpus dari keseluruhan sistem chat [41]. Semua penelitian pada survey paper ini menggunakan artificial neural network sebagai metode penyelesaian permasalahannya dan digabungkan dengan metode-metode lainnya.…”

Section: Teknik Penelitianunclassified

Tinjauan Artificial Intelligence untuk Smart Government

Saluky¹

2018

ITEJ

View full text Add to dashboard Cite

Higher population growth and urbanization to seek a better life keep the city's population increasing and if not controlled it is estimated that by 2030 it will reach 70% of the urban population. The higher the population then the service to the community must be further enhanced because the city's problems will be more complex. The ability of government to adapt to all changes requires artificial intelligence in order to process the data obtained, understand and provide effective and efficient actions in order to serve all its citizens. The result of this survey study is to present artificial intelligence techniques such as search, reasoning, planning, and learning. Artificial intelligence method that is widely used is an artificial neural network to solve the problem.

show abstract

Section: Teknik Penelitianunclassified

Tinjauan Artificial Intelligence untuk Smart Government

Saluky¹

2018

ITEJ

View full text Add to dashboard Cite

show abstract

“…AIML-based chatbots are the most popular because they are lightweight and easy to configure [15][16][17]. Using the standard of XML, AIML becomes a language that defines a service in the field of artificial intelligence [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Bershca: bringing chatbot into hotel industry in Indonesia

2020

View full text Add to dashboard Cite

Adopting technology could give competitive advantage and positively impact the hotel's profitability, thus hotels should keep up with the latest hotel technologies. An important part in the hotel services is the customer service. A problem with the human-to-human customer services today is a long time in answering customers query. On the other hand, nowadays customers need easy and effective services. Thus, a chatbot is required to answer consumers' issues automatically which leads to higher customer satisfaction and a growing profit. Because of the need and there is still an absence of chatbot for hotel industry in Indonesia, this study is conducted. The chatbot for hotel industry in Indonesia, named Bershca, has been successfully developed using artificial intelligence markup language (AIML) to construct the knowledge. Google Flutter is used for the system's front-end, while Python is used for the back-end of the system. As a text-preprocessing method, Nazief-Adriani Algorithm is implemented in the system's back-end. The system is evaluated using technology acceptance model (TAM). As a result, 85.7% of the respondents believe that using chatbot would enhance their job performance and 84.33% of the respondents believe that using the technology would be free of effort.

show abstract

Development of Bilingual Chatbot for University Related FAQs Using Natural Language Processing and Deep Learning

Chand

Sharma

2023

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Comparative studies of AIML

Cited by 4 publications

References 2 publications

Tinjauan Artificial Intelligence untuk Smart Government

Tinjauan Artificial Intelligence untuk Smart Government

Bershca: bringing chatbot into hotel industry in Indonesia

Development of Bilingual Chatbot for University Related FAQs Using Natural Language Processing and Deep Learning

Contact Info

Product

Resources

About