Text Vectorization

Text Vectorization is a text feature engineering method that transforms unstructured textual data into numerical vector representations while preserving semantic or syntactic relationships for machine learning applications.

181

Publications

7.4K

Citations

547

Authors

243

Institutions

Publications per year

2017–2026

116

Variants

Textual VectorisationTextual Vectorization

Authors

547

  1. TJ
    Taeho Jo

    The University of Osaka, Japan

    4 publications · 103 citations

    4

    h-index

  2. QY
    Qian Yang

    Xihua University, China

    2 publications · 23 citations

    2

    h-index

  3. AA
    Amir Amel‐Zadeh

    University of Oxford, United Kingdom

    2 publications · 29 citations

    2

    h-index

  4. SL
    Shijian Lu

    Nanyang Technological University, Singapore

    2 publications · 77 citations

    2

    h-index

  5. CL
    Chew Lim Tan

    National University of Singapore, Singapore

    2 publications · 77 citations

    2

    h-index

1–5 of 547

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 164 citations

    7

    h-index

  2. IEEE Access

    5 publications · 100 citations

    5

    h-index

  3. Procedia Computer Science

    4 publications · 205 citations

    4

    h-index

  4. Applied Sciences

    3 publications · 78 citations

    3

    h-index

  5. Neurocomputing

    2 publications · 68 citations

    2

    h-index

1–5