（1）首先下载word2vec，地址：https://code.google.com/p/word2vec/，可能下载的时候有问题，google上不去，那么可以从csdn上面下载。
解压后目录如下：
w2v/
`-- trunk
|-- LICENSE
|-- README.txt
|-- compute-accuracy.c
|-- demo-analogy.sh
|-- demo-classes.sh
|-- demo-phrase-accuracy.sh
|-- demo-phrases.sh
|-- demo-train-big-model-v1.sh
|-- demo-word-accuracy.sh
|-- demo-word.sh
|-- distance.c
|-- makefile
|-- questions-phrases.txt
|-- questions-words.txt
|-- word-analogy.c
|-- word2phrase.c
`-- word2vec.c
（2） 进入w2c/trunk文件夹，运行make，编辑文件。从makefile中可以看到，需要编译的文件，主要有两个word2vec.c和distance.c，编译后生成word2vec和distance。但是在编译的时候可能出现问题，参照http://blog.csdn.net/zshunmiao/article/details/15339105，可以对问题进行解决。
makefile内容如下：
（3）然后就可以跑个demo了，运行./demo-word.sh。
demo-word.sh内代码如下：
CC = gcc
#Using -Ofast instead of -O3 might result in faster code, but is supported only by newer GCC versions
CFLAGS = -lm -pthread -O3 -march=native -Wall -funroll-loops -Wno-unused-result all: word2vec word2phrase distance word-analogy compute-accuracy word2vec : word2vec.c
$(CC) word2vec.c -o word2vec $(CFLAGS)
word2phrase : word2phrase.c
$(CC) word2phrase.c -o word2phrase $(CFLAGS)
distance : distance.c
$(CC) distance.c -o distance $(CFLAGS)
word-analogy : word-analogy.c
$(CC) word-analogy.c -o word-analogy $(CFLAGS)
compute-accuracy : compute-accuracy.c
$(CC) compute-accuracy.c -o compute-accuracy $(CFLAGS)
chmod +x *.sh clean:
rm -rf word2vec word2phrase distance word-analogy compute-accuracy
然后输入单词，就可以计算其近义词，并按照顺序排列。
Enter word or sentence (EXIT to break): china
Word: china Position in vocabulary:
Word Cosine distance
------------------------------------------------------------------------
japan 0.648631
* 0.630534
manchuria 0.599535
tibet 0.583566
prc 0.560898
kalmykia 0.558937
xiamen 0.556037
jiang 0.553501
chinese 0.547065
liao 0.543676
india 0.536273
korea 0.534758
roc 0.530741
thailand 0.529334
hunan 0.527629
liang 0.527374
shanghai 0.526314
chongqing 0.525559
nanjing 0.521342
yunnan 0.518669
wuhan 0.516914
zhao 0.513246
* 0.509939
tuva 0.507322
guangdong 0.507288
hubei 0.505540
guangxi 0.501068
taipei 0.497673
macao 0.497303
hainan 0.494808
shandong 0.493323
shenzhen 0.491871
hangzhou 0.489323
balhae 0.488846
guangzhou 0.486907
fujian 0.485473
zhejiang 0.485011
harbin 0.483171