Process / pipeline
TF-IDF — 词频-逆文档频率
TF-IDF，由 Salton 和 Buckley (1988) 提出，是一种词语加权方案，它根据每个词在文档中出现的频率以及在整个语料库中的稀有程度来对其进行评分。它将原始文本转换为加权的文档向量，为在某一文档中频繁出现但在其他文档中很少见的词语赋予高权重。
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来源
- Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523. DOI: 10.1016/0306-4573(88)90021-0 ↗
如何引用本页
ScholarGate. (2026, June 1). Term Frequency–Inverse Document Frequency Vectorization. ScholarGate. https://scholargate.app/zh/text-mining/tf-idf
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