Word Embedding Documents
收藏arXiv2025-09-30 收录
下载链接：
https://code.google.com/p/word2vec
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资源简介：
该数据集通过词嵌入技术将文档表示为概率测度，其中每个单词及其出现频率分别作为支撑（support）和权重（weight）。此外，该词2vec模型包含大约300万个词汇/短语，并且在文档中移除了SMART停用词。该数据集的任务是对文档进行分类。
This dataset employs word embedding techniques to represent documents as probability measures, where each word and its occurrence frequency serve as the support and weight respectively. Additionally, the Word2Vec model used in this dataset contains approximately 3 million vocabulary and phrase entries, and SMART stop words have been removed from the documents. The downstream task of this dataset is document classification.
提供机构：
Google News
