4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Common TF-IDF variants arise as key components in the test statistic of a penalized likelihood-ratio test for word burstiness
Zeyad Ahmed, Paul Sheridan, Michael McIsaac +1
TF-IDF is a classical formula that is widely used for identifying important terms within documents. We show that TF-IDF-like scores arise naturally from the test statistic of a pen…
cs.CL2025★ 4 cited
A Fisher's exact test justification of the TF-IDF term-weighting scheme
Paul Sheridan, Zeyad Ahmed, Aitazaz A. Farooque
Term frequency-inverse document frequency, or TF-IDF for short, is arguably the most celebrated mathematical expression in the history of information retrieval. Conceived as a simp…