Natural Language Processing in Higher Education

Authors

  • Nastiti Susetyo Fanany Putri Universitas Negeri Malang
  • Prasetya Widiharso Universitas Negeri Malang
  • Agung Bella Putra Utama Universitas Negri Malang
  • Maharsa Caraka Shakti BSS High School, Malang, Indonesia
  • Urvi Ghosh Monash University

DOI:

https://doi.org/10.31763/businta.v6i1.593

Keywords:

NLP, Higher education, Sentiment analysis, Machine translation, Chatbot

Abstract

The application of Natural Language Processing (NLP) in an educational institution is still quite broad in its scope of use, including the use of NLP on chatterbots for academic consultations, handling service dissatisfaction, and spam email detection. Meanwhile, other uses that have not been widely used are the combination of NLP and Global Positioning Satellite (GPS) in finding the location of lecture buildings and other facilities in universities. The combination of NLP and GPS is expected to make it easier for new students, as well as visitors from outside the university, to find the targeted building and facilities more effectively.

 

Author Biographies

Nastiti Susetyo Fanany Putri , Universitas Negeri Malang

 

 

Prasetya Widiharso , Universitas Negeri Malang

 

 

Agung Bella Putra Utama, Universitas Negri Malang

 

 

Urvi Ghosh , Monash University

 

 

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Published

2022-02-25 — Updated on 2023-07-03

How to Cite

Putri , N. S. F., Widiharso , P. ., Utama, A. B. P., Shakti, M. C., & Ghosh , U. . (2023). Natural Language Processing in Higher Education. Bulletin of Social Informatics Theory and Application, 6(1), 90–101. https://doi.org/10.31763/businta.v6i1.593

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