Process / pipeline
Doc2Vec — 文档嵌入
Doc2Vec，也称为 Paragraph Vector，是由 Le 和 Mikolov (2014) 提出的一种表示学习方法，它将整个文档映射到固定长度的稠密向量。这些向量将相似的文档放置在空间中的相近位置，支持文档比较和分类。
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来源
- Le, Q. V. & Mikolov, T. (2014). Distributed Representations of Sentences and Documents. Proceedings of the 31st International Conference on Machine Learning (ICML), 1188-1196. link ↗
如何引用本页
ScholarGate. (2026, June 1). Doc2Vec Document Embeddings (Paragraph Vector). ScholarGate. https://scholargate.app/zh/text-mining/doc2vec
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