Text Classification Features

Text Classification Features is a methodological construct in text feature engineering that comprises distinct attributes derived from textual data to enable the differentiation and categorization of documents into predefined classes within a classification framework.

1.1K

Publications

64.1K

Citations

3.1K

Authors

1K

Institutions

Publications per year

2017–2026

543

Authors

3.1K

  1. AK
    Alper Kürşat Uysal

    Anadolu University, Türkiye

    9 publications · 878 citations

    9

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  2. AA
    Adiwijaya Adiwijaya

    Telkom University, Indonesia

    5 publications · 147 citations

    6

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  3. SL
    Sujian Li

    Peking University, China

    6 publications · 547 citations

    6

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  4. MN
    Manabu Nii

    University of Hyogo, Japan

    5 publications · 60 citations

    5

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  5. MA
    Marcos André Gonçalves

    Universidade Federal de Minas Gerais, Brazil

    5 publications · 228 citations

    5

    h-index

1–5 of 3.1K

Venues

  1. Expert Systems with Applications

    26 publications · 3.6K citations

    23

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  2. arXiv (Cornell University)

    Repository · 35 publications · 2K citations

    17

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  3. IEEE Access

    17 publications · 1K citations

    16

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  4. Information Processing & Management

    13 publications · 1.1K citations

    12

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  5. Procedia Computer Science

    12 publications · 358 citations

    11

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1–5