forked from yanyiwu/gojieba
-
Notifications
You must be signed in to change notification settings - Fork 0
/
jieba_test.go
239 lines (211 loc) · 6.7 KB
/
jieba_test.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
package gojieba
import (
"fmt"
"reflect"
"strings"
"testing"
)
func ExampleJieba() {
var s string
var words []string
use_hmm := true
//equals with x := NewJieba(DICT_PATH, HMM_PATH, USER_DICT_PATH)
x := NewJieba()
defer x.Free()
s = "我来到北京清华大学"
words = x.CutAll(s)
fmt.Println(s)
fmt.Println("全模式:", strings.Join(words, "/"))
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("精确模式:", strings.Join(words, "/"))
s = "比特币"
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("精确模式:", strings.Join(words, "/"))
x.AddWord("比特币")
s = "比特币"
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("添加词典后,精确模式:", strings.Join(words, "/"))
s = "他来到了网易杭研大厦"
words = x.Cut(s, use_hmm)
fmt.Println(s)
fmt.Println("新词识别:", strings.Join(words, "/"))
s = "小明硕士毕业于中国科学院计算所,后在日本京都大学深造"
words = x.CutForSearch(s, use_hmm)
fmt.Println(s)
fmt.Println("搜索引擎模式:", strings.Join(words, "/"))
s = "长春市长春药店"
words = x.Tag(s)
fmt.Println(s)
fmt.Println("词性标注:", strings.Join(words, ","))
s = "区块链"
words = x.Tag(s)
fmt.Println(s)
fmt.Println("词性标注:", strings.Join(words, ","))
s = "长江大桥"
words = x.CutForSearch(s, !use_hmm)
fmt.Println(s)
fmt.Println("搜索引擎模式:", strings.Join(words, "/"))
wordinfos := x.Tokenize(s, SearchMode, !use_hmm)
fmt.Println(s)
fmt.Println("Tokenize:", wordinfos)
// Output:
// 我来到北京清华大学
// 全模式: 我/来到/北京/清华/清华大学/华大/大学
// 我来到北京清华大学
// 精确模式: 我/来到/北京/清华大学
// 比特币
// 精确模式: 比特/币
// 比特币
// 添加词典后,精确模式: 比特币
// 他来到了网易杭研大厦
// 新词识别: 他/来到/了/网易/杭研/大厦
// 小明硕士毕业于中国科学院计算所,后在日本京都大学深造
// 搜索引擎模式: 小明/硕士/毕业/于/中国/科学/学院/科学院/中国科学院/计算/计算所/,/后/在/日本/京都/大学/日本京都大学/深造
// 长春市长春药店
// 词性标注: 长春市/ns,长春/ns,药店/n
// 区块链
// 词性标注: 区块链/nz
// 长江大桥
// 搜索引擎模式: 长江/大桥/长江大桥
// 长江大桥
// Tokenize: [{长江 0 6} {大桥 6 12} {长江大桥 0 12}]
}
func TestJieba(t *testing.T) {
//equals with x := NewJieba(DICT_PATH, HMM_PATH, USER_DICT_PATH)
x := NewJieba()
defer x.Free()
var s string
var expected string
var actual string
var use_hmm = true
s = "我来到北京清华大学"
expected = "我/来到/北京/清华/清华大学/华大/大学"
actual = strings.Join(x.CutAll(s), "/")
if expected != actual {
t.Error(actual)
}
s = "我来到北京清华大学"
expected = "我/来到/北京/清华大学"
actual = strings.Join(x.Cut(s, use_hmm), "/")
if expected != actual {
t.Error(actual)
}
s = "他来到了网易杭研大厦"
expected = "他/来到/了/网易/杭研/大厦"
actual = strings.Join(x.Cut(s, use_hmm), "/")
if expected != actual {
t.Error(actual)
}
s = "他来到了网易杭研大厦"
expected = "他/来到/了/网易/杭/研/大厦"
actual = strings.Join(x.Cut(s, !use_hmm), "/")
if expected != actual {
t.Error(actual)
}
s = "小明硕士毕业于中国科学院计算所,后在日本京都大学深造"
expected = "小明/硕士/毕业/于/中国/科学/学院/科学院/中国科学院/计算/计算所/,/后/在/日本/京都/大学/日本京都大学/深造"
actual = strings.Join(x.CutForSearch(s, use_hmm), "/")
if expected != actual {
t.Error(actual)
}
s = "长春市长春药店"
expected = "长春市/ns,长春/ns,药店/n"
actual = strings.Join(x.Tag(s), ",")
if expected != actual {
t.Error(actual)
}
s = "长春市长春药店"
wordinfos := x.Tokenize(s, SearchMode, false)
expectedwords := []Word{
Word{Str: "长春", Start: 0, End: 6},
Word{Str: "长春市", Start: 0, End: 9},
Word{Str: "长春", Start: 9, End: 15},
Word{Str: "药店", Start: 15, End: 21},
}
if !reflect.DeepEqual(wordinfos, expectedwords) {
t.Error()
}
}
func TestJiebaCutForSearch(t *testing.T) {
x := NewJieba()
defer x.Free()
s := "长江大桥"
words := x.CutForSearch(s, false)
expected := []string{
"长江",
"大桥",
"长江大桥",
}
if !reflect.DeepEqual(words, expected) {
t.Error(words, expected)
}
wordinfos := x.Tokenize(s, SearchMode, false)
expectedwords := []Word{
Word{Str: "长江", Start: 0, End: 6},
Word{Str: "大桥", Start: 6, End: 12},
Word{Str: "长江大桥", Start: 0, End: 12},
}
if !reflect.DeepEqual(wordinfos, expectedwords) {
t.Error(wordinfos, expectedwords)
}
}
func BenchmarkJieba(b *testing.B) {
//equals with x := NewJieba(DICT_PATH, HMM_PATH, USER_DICT_PATH)
x := NewJieba()
s := "小明硕士毕业于中国科学院计算所,后在日本京都大学深造"
defer x.Free()
b.ResetTimer()
// Stop Timer before x.Free()
defer b.StopTimer()
for i := 0; i < b.N; i++ {
x.Cut(s, false)
x.Cut(s, true)
x.CutAll(s)
x.CutForSearch(s, false)
x.CutForSearch(s, true)
x.Tag(s)
x.Tokenize(s, DefaultMode, true)
x.Tokenize(s, DefaultMode, false)
}
}
func ExampleExtract() {
x := NewJieba()
defer x.Free()
s := "我是拖拉机学院手扶拖拉机专业的。不用多久,我就会升职加薪,当上CEO,走上人生巅峰。"
words := x.Extract(s, 5)
fmt.Println(s)
fmt.Println("关键词抽取:", strings.Join(words, "/"))
word_weights := x.ExtractWithWeight(s, 5)
fmt.Println("关键词抽取:", word_weights)
// Output:
// 我是拖拉机学院手扶拖拉机专业的。不用多久,我就会升职加薪,当上CEO,走上人生巅峰。
// 关键词抽取: CEO/升职/加薪/手扶拖拉机/巅峰
// 关键词抽取: [{CEO 11.739204307083542} {升职 10.8561552143} {加薪 10.642581114} {手扶拖拉机 10.0088573539} {巅峰 9.49395840471}]
}
func TestExtractor(t *testing.T) {
x := NewJieba()
defer x.Free()
s := "我是拖拉机学院手扶拖拉机专业的。不用多久,我就会升职加薪,当上CEO,走上人生巅峰。"
expected := "CEO/升职/加薪/手扶拖拉机/巅峰"
actual := strings.Join(x.Extract(s, 5), "/")
if expected != actual {
t.Error(actual)
}
}
func BenchmarkExtractor(b *testing.B) {
// equals with:
// x := NewExtractor(DICT_PATH, HMM_PATH, USER_DICT_PATH, IDF_PATH, STOP_WORDS_PATH)
x := NewJieba()
defer x.Free()
s := "我是拖拉机学院手扶拖拉机专业的。不用多久,我就会升职加薪,当上CEO,走上人生巅峰。"
b.ResetTimer()
// Stop Timer before x.Free()
defer b.StopTimer()
for i := 0; i < b.N; i++ {
x.Extract(s, 10)
x.ExtractWithWeight(s, 10)
}
}