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word-embedding's Introduction

Word-Embedding

Word2vec，Fasttext，Glove，Elmo，Bert and Flair pre-train Word Embedding

本仓库详细介绍如何利用Word2vec，Fasttext，Glove，Elmo，Bert and Flair如何去训练Word Embedding，对算法进行简要分析，给出了训练详细教程以及源码，教程中也给出相应的实验效果截图

1、环境

  • python>=3.5
  • tensorflow>=1.13

2、Word Embedding教程快速链接

3、实验数据简介

  • stop_words.txt: 停用词数据，用于数据预处理使用
  • wiki.zh.text.jian: wiki百科简体中文原始数据，wiki.zh.text.jian.fenci: wiki百科简体中文分词后数据，wiki百科数据主要在word2vec的skipgram模型中使用，数据量较大，已放百度网盘，地址: 链接, 密码: bvmw
  • toutiao_word_corpus.txt: 头条公开的新闻类分类数据，word2vec的gensim库实验、fasttext算法、glove算法中有使用

4、欢迎关注公众号

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