Word2vec Model Reader for node client
npm install node-word2vec-readerWord2vec model reader for Node.js Client.
``
npm install node-word2vec-reader
var Word2vec = require("node-word2vec-reader");
var word2vec = new Word2vec();
为了保证性能，使用 Node.js C ++ Addon 模块管理词表和加载模型。
所有接口都返回 Promise。
`
word2vec.init(model_file_path);
实例化后的 word2vec 先进行初始化，model_file_path是通过word2vec训练后得到的模型。
获得词表的大小
`
word2vec.getVocabSize()
.then(function(num){
// do your magic
})
获得词向量的维度
`
word2vec.getEmbeddingDim()
.then(function(num){
// do your magic
})
获得一个词语的向量
`
word2vec.v("飞机")
.then(function(vector){
// do your magic
})
获得一个词语最近的 k 个词语及分数。
`
word2vec.nearby("飞机", 10)
.then(function(data){
// do your magic
})
- 返回值 JSONArray
[[words], [scores]]，包含两个列表，第一个是词语，第二个是对应位置词语的距离分数，同样是在[0~1]区间，越接近于 1 越相似。
比如：
`
[
["股市","股价","股票市场","股灾","楼市","股票","香港股市","行情","恒指","金融市场"],
[1,0.786284,0.784575,0.751607,0.712255,0.712179,0.710806,0.694434,0.67501,0.666439]
]
对传入的词语的列表返回 BoW 向量。
`
word2vec.bow(["飞机", "航母"])
.then(function(vector){
// do your magic
})
更多详情。
`
admin/rebuilt.sh # 重新编译C++ Addon
admin/test.sh # 单元测试
word2vec 是用来训练词向量模型的工具，为了方便，将 word2vec 也放在代码库中。编译和使用 word2vec：
`
cd app/google
make clean
make
./word2vec
关于 Word2vec 更多信息，参考 word2vec/google/README。
Word2vec model reader for Node.js Client.
Copyright (C) 2018 Hai Liang Wang
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see
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