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book chapter · Apress eBooks · 2020

Text Classification

Özgür Sahin

Cited by 1Abstract and details only

Abstract

Text classification is a natural language processing method that lets us categorize texts into predefined classes. This is a very popular technique that has a variety of use cases. One of the famous uses is classifying text into emotional categories (positive, negative, etc.) which is called sentiment analysis. This method can be used on any text data that has been categorized. Text classification allows us to find the author of a piece of writing, classify GitHub issues, find complaints in App Store reviews, or detect the language of a text. In this chapter, we will learn how to use Create ML and Turi Create to create text classification applications. We will learn by doing example apps. We will develop a spam SMS classifier app with Create ML first and then Turi Create.

Cite this paper

APA 7

Sahin, Ö. (2020). Text Classification. Apress eBooks, 41–67. https://doi.org/10.1007/978-1-4842-6421-8_3

MLA 9

Sahin, Özgür. “Text Classification.” Apress eBooks, 2020, pp. 41–67, https://doi.org/10.1007/978-1-4842-6421-8_3.

Chicago

Sahin, Özgür. 2020. “Text Classification.” Apress eBooks: 41–67. https://doi.org/10.1007/978-1-4842-6421-8_3.

Harvard

Sahin, Ö. (2020) ‘Text Classification’, Apress eBooks, pp. 41–67. Available at: https://doi.org/10.1007/978-1-4842-6421-8_3.

BibTeX
@incollection{sahin2020text,
  title = {{Text Classification}},
  author = {Sahin, Özgür},
  booktitle = {Apress eBooks},
  pages = {41--67},
  year = {2020},
  doi = {10.1007/978-1-4842-6421-8_3}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

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