Question

我最近在使用python在nlp中做项目。我需要预先处理一个csv文件，其中包含许多行和列的文本。我可以只能干掉简单的句子。并且无法立即阻止整个csv文件。我怎样才能做到这一点？？在尝试阻止简单的csv文件时，我得到了错误

import csv
from nltk import PorterStemmer
port = PorterStemmer()

with open('status.csv', 'rb') as f:
    reader = csv.reader(f)
    for row in reader:
        print(port.stem(row))

error was

Answer 1

因此，您需要执行几个步骤。

#Part 1
>>> import nltk
>>> from nltk import PorterStemmer
>>> test = 'this sentence is just a tester set of words'
>>> test_tokenize = nltk.word_tokenize(test)
>>> test_tokenize
['this', 'sentence', 'is', 'just', 'a', 'tester', 'set', 'of', 'words']
>>> port = PorterStemmer()
>>> for word in test_tokenize:
...     print port.stem(word)
... 
thi
sentenc
is
just
a
tester
set
of
word

#Part 2
with open('status.csv', 'rb') as f: 
    reader = csv.reader(f)
    for row in reader:
       #reference the column where the text is located
       #text = row[column_index_for_text]
       #then just complete the steps in part 1 to get the stemmed words

如何在Python中使用PorterStemmer来阻止csv文件？

1 个答案: