资源简介
基于nltk实现对英文短文本的名词抽取,规则可以自己制定。
代码片段和文件信息
import nltk
import re
import csv
from xlwt import *
#nltk.download(‘punkt‘)
#对句子进行词汇分割和正规化,有些情况如aren‘t需要分割为are和n’t;或者i‘m要分割为i和’m。
#tokens_1=nltk.word_tokenize(‘what your‘)
#print(tokens_1)
import nltk
lowersetence=‘I would not doubt to see an upgrade to Tropical Harvey as soon as we have a closed low via hurricane hunters... PTC 09L 5pm Adv. should have it‘.lower()
text = nltk.word_tokenize(lowersetence)
sentence=nltk.pos_tag(text)
#grammar = “NP:{}“
grammar = r“““
NP:{
- 上一篇:指定步数节点内容的PROCAST仿真结果导出
- 下一篇:KCFpython算法
评论
共有 条评论