参考链接 https://github.com/fxsjy/jieba #encoding=utf-8from __future__ import print_function, unicode_literalsimport syssys.path.append("../")import jiebajieba.load_userdict("dict.txt") #载入自定义字典import jieba.posseg as pseg#
参考链接 https://github.com/fxsjy/jieba
#encoding=utf-8
from __future__ import print_function, unicode_literals
import sys
sys.path.append("../")
import jieba
jieba.load_userdict("dict.txt") #载入自定义字典
import jieba.posseg as pseg
# """
#dict.txt 文件 保存类型为 utf-8
# 云计算 5
# 李小福 2 nr
# 创新办 3 i
# easy_install 3 eng
# 好用 300
# 韩玉赏鉴 3 nz
# 八一双鹿 3 nz
# 台中
# 凱特琳 nz
# Edu Trust认证 2000
# """
jieba.add_word('石墨烯') #动态添加词典
jieba.add_word('凱特琳')
jieba.del_word('自定义词')#动态删除词典中某词
test_sent = (
"李小福是创新办主任也是云计算方面的专家; 什么是八一双鹿\n"
"例如我输入一个带“韩玉赏鉴”的标题,在自定义词库中也增加了此词为N类\n"
"「台中」正確應該不會被切開。mac上可分出「石墨烯」;此時又可以分出來凱特琳了。"
)
words = jieba.cut(test_sent) #分词
print('/'.join(words))
print("="*40)
result = pseg.cut(test_sent)
for w in result:
print(w.word, "/", w.flag, ", ", end=' ')
print("\n" + "="*40)
#
terms = jieba.cut('easy_install is great')
print('/'.join(terms))
terms = jieba.cut('python 的正则表达式是好用的')
print('/'.join(terms))
#
print("="*40)
# test frequency tune
testlist = [
('今天天气不错', ('今天', '天气')),
('如果放到post中将出错。', ('中', '将')),
('我们中出了一个叛徒', ('中', '出')),
]
#
for sent, seg in testlist:
print('/'.join(jieba.cut(sent, HMM=False)))
word = ''.join(seg)
print('%s Before: %s, After: %s' % (word, jieba.get_FREQ(word), jieba.suggest_freq(seg, True)))
print('/'.join(jieba.cut(sent, HMM=False)))
print("-"*40)
import jieba
jieba.load_userdict("dict.txt")
seg_list = jieba.cut("我来到北京清华大学", cut_all=True)
print("Full Mode: " + "/ ".join(seg_list)) # 全模式
seg_list = jieba.cut("我来到北京清华大学", cut_all=False)
print("Default Mode: " + "/ ".join(seg_list)) # 精确模式
seg_list = jieba.cut("他来到了网易杭研大厦") # 默认是精确模式
print(", ".join(seg_list))
seg_list = jieba.cut_for_search("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
print(", ".join(seg_list))
