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Citation classification and key phrase extraction in legal texts using machine learning: an examination of the legal text classification dataset

Sadullah Çelik et al.

Quality & Quantity2026https://doi.org/10.1007/s11135-025-02548-2article
ABDC B
Weight
0.50

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https://doi.org/https://doi.org/10.1007/s11135-025-02548-2

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@article{sadullah2026,
  title        = {{Citation classification and key phrase extraction in legal texts using machine learning: an examination of the legal text classification dataset}},
  author       = {Sadullah Çelik et al.},
  journal      = {Quality & Quantity},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s11135-025-02548-2},
}

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Citation classification and key phrase extraction in legal texts using machine learning: an examination of the legal text classification dataset

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.