Process / pipeline
Word2Vec — 词嵌入
Word2Vec 是一种由 Mikolov 及其同事于 2013 年提出的神经词嵌入技术，它将文本语料库中的每个单词映射到一个稠密的数值向量。出现在相似上下文中的单词在向量空间中会彼此靠近，因此这些嵌入能够捕捉可以通过算术方法衡量的语义相似性。
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来源
- Mikolov, T., Chen, K., Corrado, G. & Dean, J. (2013). Efficient Estimation of Word Representations in Vector Space. link ↗
如何引用本页
ScholarGate. (2026, June 1). Word2Vec Word Embeddings. ScholarGate. https://scholargate.app/zh/text-mining/word2vec
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