使用 Python 从句子池中匹配一个词

Question

我有两个不同的文件文件 "Sentence" 包含一个句子池，请在下面找到快照。 Sentence Snapshot

文件"Word" contians词库，请在下面找到快照。

如果有任何单词与句子匹配，我想将单词从单词文件映射到句子文件，我想要句子和匹配单词形式的结果

例如：句子匹配词 Linux 开栈很棒 Linux 开栈

请在下面找到我的代码，当我尝试将结果提取到 csv 中时，它显示错误。

import pandas as pd
import csv

sentence_xlsx = pd.ExcelFile('C:\Python\Seema\Sentence.xlsx')
sentence_all = sentence_xlsx.parse('Sheet1')
#print(sentence_all)
word_xlsx = pd.ExcelFile('C:\Python\Seema\Word.xlsx')
word_all = word_xlsx.parse('Sheet1')            


for sentence in sentence_all['Article']:
    sentences = sentence.lower()

    for word in sentences.split():
        if word in ('linux','openstack'):
            result = word,sentence

results = open('C:\Python\Seema\result.csv', 'wb')
writer = csv.writer(results, dialect='excel')
writer.writerows(result)
results.close()

Traceback (most recent call last):
  File "Word_Finder2.py", line 25, in <module>
    results = open('C:\Python\Seema\result.csv', 'wb')
IOError: [Errno 22] invalid mode ('wb') or filename: 'C:\Python\Seema\result.c
sv'

Answer 1

路径的 '\result.csv' 部分的 '\r' 被读取为回车 return 字符。要解决此问题，请将前导 r 附加到路径以使其成为原始字符串文字（credit @georg）。

然后使用writerows，所有迭代的结果应该累积到一个列表中，而不仅仅是最后一个结果。

result = [] # create list to hold result from each iteration
for sentence in sentence_all['Article']:
    sentences = sentence.lower()

    for word in sentences.split():
        if word in ('linux','openstack'):
            # append result of iteration to result
            result.append([sentence, word])
            #|<- creates list of rows suitable for 'writerows'

results = open(r'C:\Python\Seema\result.csv', 'wb')
#              ^ prevents \r... from being read as a special character
writer = csv.writer(results, dialect='excel')
writer.writerows(result)
results.close()

使用 Python 从句子池中匹配一个词

To match a word from a pool of sentences using Python

python

string

string-matching