Topic Similarity

Topic Similarity is a text-level semantic measure in computational linguistics that quantifies the degree of overlap in subject matter between two documents based on the alignment of their underlying thematic structures.

94

Publications

3.3K

Citations

280

Authors

132

Institutions

Publications per year

2017–2026

38

Authors

280

  1. PG
    Panagiotis G. Ipeirotis

    New York University, United States

    2 publications · 147 citations

    2

    h-index

  2. YJ
    Ye Jiang

    University of Sheffield, United Kingdom

    2 publications · 41 citations

    2

    h-index

  3. HJ
    Hayeong Jeong

    Kyoto University, Japan

    2 publications · 31 citations

    2

    h-index

  4. YM
    Yosi Mass

    IBM Research - Haifa, Israel

    2 publications · 66 citations

    2

    h-index

  5. WD
    Wisam Dakka

    Columbia University, United States

    2 publications · 147 citations

    2

    h-index

1–5 of 280

Venues

  1. IEEE Access

    4 publications · 161 citations

    4

    h-index

  2. Applied Sciences

    2 publications · 27 citations

    2

    h-index

  3. Scientific Reports

    2 publications · 43 citations

    2

    h-index

  4. Metaphor and Symbol

    2 publications · 144 citations

    2

    h-index

  5. Journal of Information and Telecommunication

    JIT · 1 publications · 10 citations

    1

    h-index

1–5