方法证据记录
TF-IDF
TF-IDF, introduced by Salton and Buckley (1988), is a term-weighting scheme that scores each word in a document by how often it appears there and how rare it is across the whole collection. It turns raw text into weighted document vectors, giving high weight to terms that are frequent in one document but uncommon elsewhere.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Term Frequency–Inverse Document Frequency Vectorization
分类方法记录 · process-pipeline / text-mining
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