Analisis Data Berbentuk Teks dalam Sistem Diagnosis Penyakit dengan Supervised Learning

Authors

  • I Gusti Ngurah Bagus Ferry Mahayudha Universitas Udayana Author
  • Ida Bagus Gede Dwidasmara Universitas Udayana Author

DOI:

https://doi.org/10.24843/JNATIA.2023.v01.i04.p19

Keywords:

string of characters, textual data, NLP, information retrieval, data mining

Abstract

In computer science, text refers to a sequence of characters that can be represented and processed by a computer. It is the basic unit of data for representing human-readable information, such as letters, numbers, symbols, and spaces. In computer programming, text is typically represented as a string of characters. Textual data can be stored in variables, manipulated using various string operations, and displayed to users through input/output operations.Text plays a crucial role in many areas of computer science, including natural language processing, information retrieval, data mining, and text-based communication systems like email, chat applications, and social media. It serves as a fundamental component for storing, analyzing, and processing vast amounts of textual information in various applications. 

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Published

2023-08-01

How to Cite

[1]
I Gusti Ngurah Bagus Ferry Mahayudha and Ida Bagus Gede Dwidasmara, “Analisis Data Berbentuk Teks dalam Sistem Diagnosis Penyakit dengan Supervised Learning”, Jnatia, vol. 1, no. 4, pp. 1163–1170, Aug. 2023, doi: 10.24843/JNATIA.2023.v01.i04.p19.

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