[英]How to use a POS Tagger NLTK for an Imported CSV File in Python 3
[英]Save NLTK tagger output to a CSV file
我正在尝试分析文本以查找所有的'NN'和'nnp',到目前为止,代码运行良好,但是当我将输出保存到CSV文件时,我无法获得所需的格式。 具有-单词,标签,问题分析-
这是代码:
training_set = []
text = 'I want to analized this text'
tokenized = nltk.word_tokenize(text)
tagged = nltk.pos_tag(tokenized)
result= [(word, tag) for word, tag in tagged if tag in ('NN', 'NNP')]
for i in result:
training_set.append(i)
training_set.append([text])
print(training_set)
listFile2 = open('sample.csv', 'w', newline='')
writer2 = csv.writer(listFile2,quoting=csv.QUOTE_ALL, lineterminator='\n', delimiter=',')
for item in training_set:
writer2.writerow(item)
结果如下:
知道如何将所有信息保持在同一行中。 像这样:
我更改了代码并使用了两个列表,然后使用Zip将它们都添加到CSV文件中,但这似乎可行,但是都在“”和()中关闭
training_set = []
question = []
text = 'I want to analyzed this text'
tokenized = nltk.word_tokenize(text)
tagged = nltk.pos_tag(tokenized)
result= [(word, tag) for word, tag in tagged if tag in ('NN', 'NNP')]
for i in result:
training_set.append(i)
question.append([text])
listFile2 = open('sample.csv', 'w', newline='')
writer2 = csv.writer(listFile2,quoting=csv.QUOTE_ALL, lineterminator='\n', delimiter=',')
for item in zip(training_set, question):
writer2.writerow(item)
结果:
在将数据写入csv之前,可以尝试执行以下操作以所需的格式获取数据:
[tag + (text,) for tag in result]
OUTPUT:
[('text', 'NN', 'I want to analyze this text')]
本质上,它将以所需的格式为您提供元组列表,然后您可以将其写入到csv中。
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.