HOW TF-IDF WORKS
Term frequency and rarity are combined into one score
TF-IDF combines within-document term frequency with inverse-document frequency across the selected corpus. Terms that appear throughout the corpus receive less weight; terms concentrated in fewer documents receive more.
TF
term frequency ÷ analyzed wordsIDF
log((N + 1) ÷ (df + 1)) + 1COMPARATIVE VIEW
Inspect every document with one shared weighting model
Corpus setup
Add 2–10 text or public URL sources and apply one synchronized preprocessing configuration.
Top terms
Limit rows to a deterministic top slice to focus on the strongest terms.
Global IDF table
Review which terms carry more discriminative power across the selected corpus.
Export
Download every document vector and the shared metadata for reproducible modeling.