[ Python 常見問題 ] nltp - Resource 'corpora/wordnet' not found

Source From Here 
Question 
Execution below test script: 
- test.py 

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1. #!/usr/bin/env python  
2. import spacy  
3. import nltk  
4.   
5. # Load spacy's English-language models  
6. en_nlp = spacy.load('en')  
7.   
8. # Instantiate nltk's Porter stemmer  
9. stemmer = nltk.stem.PorterStemmer()  
10. from nltk.stem import WordNetLemmatizer  
11. wordnet_lemmatizer = WordNetLemmatizer()  
12.   
13. # Define function to compare lemmatization in spacy with stemming in nltk  
14. def compare_normalization(doc):  
15.     # tokenize document in spacy  
16.     doc_spacy = en_nlp(doc)  
17.     # print lemmas found by spacy  
18.     print("Lemmatization:")  
19.     print([wordnet_lemmatizer.lemmatize(token.text) for token in doc_spacy])  
20.     # print tokens found by Porter stemmer  
21.     print("Stemming:")  
22.     print([stemmer.stem(token.norm_.lower()) for token in doc_spacy])  
23.   
24. compare_normalization(u"Our meeting today was worse than yesterday, "  
25.                        "I'm scared of meeting the clients tomorrow.")  

Will cause below exception: 

How-To 
What ended up working for me is creating an 'nltk_data' directory in the application's folder itself, downloading the corpus to that directory and adding a line to my code that lets the nltk know to look in that directory. 
Step 1: Enter nltp downloader 

# python -m nltk.downloader

Step 2: Download Corpus 

Or in one step from Python code: 

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1. nltk.download("wordnet", "whatever_the_absolute_path_to_myapp_is/nltk_data/")  

Step 3: Let nltk Know Where to Look 
ntlk looks for data,resources,etc. in the locations specified in the nltk.data.path variable. All you need to do is add nltk.data.path.append('whatever_the_absolute_path_to_myapp_is/nltk_data/') to the python file actually using nltk, and it will look for corpora, tokenizers, and such in there in addition to the default paths.