A survey of text classification algorithms

Charu C. Aggarwal; Cheng Xiang Zhai

doi:10.1007/978-1-4614-3223-4_6

A survey of text classification algorithms

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

The problem of classification has been widely studied in the data mining, machine learning, database, and information retrieval communities with applications in a number of diverse domains, such as target marketing, medical diagnosis, news group filtering, and document organization. In this paper we will provide a survey of a wide variety of text classification algorithms.

Original language	English (US)
Title of host publication	Mining Text Data
Publisher	Springer
Pages	163-222
Number of pages	60
Volume	9781461432234
ISBN (Electronic)	9781461432234
ISBN (Print)	1461432227, 9781461432227
DOIs	https://doi.org/10.1007/978-1-4614-3223-4_6
State	Published - Aug 1 2012

Keywords

Text Classification

ASJC Scopus subject areas

Computer Science(all)

Online availability

10.1007/978-1-4614-3223-4_6

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abstract = "The problem of classification has been widely studied in the data mining, machine learning, database, and information retrieval communities with applications in a number of diverse domains, such as target marketing, medical diagnosis, news group filtering, and document organization. In this paper we will provide a survey of a wide variety of text classification algorithms.",

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A survey of text classification algorithms

Abstract

Keywords

ASJC Scopus subject areas

Online availability

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