python对csv文件进行分句、分词、词性标注。

可以使用Python中的pandas、jieba和nltk库来对csv文件进行分句、分词和词性标注。

首先，使用pandas读取csv文件：

import pandas as pd

df = pd.read_csv('example.csv')

接下来，使用jieba对文本进行分句和分词：

import jieba

sentences = []
for text in df['text']:
    sentences += [s for s in re.split(r'[。！？]', text) if s]
    
words = []
for sentence in sentences:
    words += jieba.lcut(sentence)

最后，使用nltk对词进行词性标注：

import nltk

tagged_words = nltk.pos_tag(words)

完整代码如下：

import pandas as pd
import jieba
import nltk
import re

df = pd.read_csv('example.csv')

sentences = []
for text in df['text']:
    sentences += [s for s in re.split(r'[。！？]', text) if s]
    
words = []
for sentence in sentences:
    words += jieba.lcut(sentence)
    
tagged_words = nltk.pos_tag(words)