NLTK的安装教程及安装错误解决方案
目录
- 成功解决NLTK包的安装错误
- NLTK的离线安装
- NLTK的验证
成功解决NLTK包的安装错误
- 创建环境
NLP_Pre_train
l环境
conda create -n NLP_Pre_train python=3.8
- 激活
conda activate NLP_Pre_train
- 安装NLTK,套用以下命令
pip install NLTK
- 之后是验证NLTK是否安装成功,采用的步骤如下所示:
import nltk nltk.download()
但是不出意外的是,很多人出现的错误,如下所示:
为了解决此项问题,我们可以采用离线安装的方式进行解决。
NLTK的离线安装
- 首先现在离线安装包,我们直接去官网进行下载:https://github.com/nltk/nltk_data,安装的文件,如下所示:
- 我们将下载的文件存放的位置如下所示
- 我们将下载的以下文件文件,放进文件2所展示的位置,这样便大功告成!
NLTK的验证
我们可以打印出,NLTK的英文停用词(STOP word)。
from nltk.corpus import stopwords print(stopwords.words('english'))
打印结果如下所示:
['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', "you're",
"you've", "you'll", "you'd", 'your', 'yours', 'yourself', 'yourselves', 'he',
'him', 'his', 'himself', 'she', "she's", 'her', 'hers', 'herself', 'it', "it's",
'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which',
'who', 'whom', 'this', 'that', "that'll", 'these', 'those', 'am', 'is', 'are',
'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do',
'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because',
'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against',
'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below',
'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again',
'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how',
'all', 'any',开发者_C学习 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no',
'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'tojZJykCo', 'very', 's', 't',
'can', 'will', 'just', 'don', "don't", 'should', "should've", 'now', 'd', 'll',
'm', 'o', 're', 've', 'y', 'ain', 'aren', "aren't", 'couldn', "couldn't",
'didn', "didn't", 'doesn', "doesn't", 'hadn', "hadn't&quohttp://www.devze.comt;, 'hasn', "hasn't",
'haven', "haven't", www.devze.com'isn', "isn't", 'ma', 'mightn', "mightnhttp://www.devze.com39;t", 'mustn',
"mustn't", 'needn', "needn't", 'shan', "shan't", 'shouldn', "shouldn't",
'wasn', "wasn't", 'weren', "weren't", 'won', "won't", 'wouldn', "wouldn't&qjZJykCuot;
本文详细介绍了NLTK的安装方法和常见错误解决方案,对初学者很有帮助。另外,本文还对比了NLTK和其他自然语言处理工具的优缺点,为读者提供了选型参考。总的来说,NLTK是一款功能强大、易于使用的自然语言处理工具,值得学习和使用。
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