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How to Solve Attribute error using SpaCy in Python

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by vigneshchennai74 dot icon Updated: Feb 1, 2023

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An attribute error occurs in Python when a code tries to access an attribute (i.e., a variable or method) that does not exist in an object or class. For example, if you try to access an instance variable that has not been defined, you will get an attribute error.  


When using spaCy, an attribute error can happen if you try to access a property or attribute of an object (such as a token or doc) that is not declared or doesn't exist. To fix this, either use the “hasattr()” function to check whether the attribute is present before attempting to access it or check whether the attribute is present before attempting to access it.  

  • hasattr(): hasattr() is a built-in Python function that is used to check if an object has a given attribute. It takes two arguments: the object to check and the attribute’s name as a string. If the object has the attribute, hasattr() returns True. Otherwise, it returns False.  

It is important to read the spaCy documentation to understand the properties and methods provided by spaCy for different objects.  

 

You may have a look at the code below for more information about solving attribute errors using SpaCy.  

Preview of the output that you will get on running this code from your IDE

Code

In this solution we have used Spacy library.

How can I solve an attribute error when using spacy?

PythondotLines of Code : 25dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import re
import spacy

# using the web English model for practicality here
nlp = spacy.load('en_core_web_sm')

tex = ['I\'m going to get a cat tomorrow',
        'I don\'t know if I\'ll be able to get him a cat house though!']

data = [re.sub(r"\"", "", i) for i in tex]
data1 = [re.sub(r"\“", "", i) for i in data]
data2 = [re.sub(r"\„", "", i) for i in data1]

spacy_doc1 = []

for line in data2:
    spac = nlp(line)
    lem = [tok.lemma_ for tok in spac]
    no_punct = [tok for tok in lem if re.match('\w+', tok) or tok in ["-PRON-"]]
    no_numbers = [tok for tok in no_punct if not re.match('\d+', tok)]
    print(no_numbers)

# > ['-PRON-', 'be', 'go', 'to', 'get', 'a', 'cat', 'tomorrow']
# > ['-PRON-', 'do', 'not', 'know', 'if', '-PRON-', 'will', 'be', 'able', 'to', 'get', '-PRON-', 'a', 'cat', 'house', 'though']
  1. Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
  2. Run the program to get the text to lemmatize


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "How can i solve an attribute error when using SpaCy " in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.


  1. The solution is created in Python 3.7.15 Version
  2. The solution is tested on Spacy 3.4.3 Version


Using this solution, we are going to Lemmatize the words with help of Spacy library. This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us Lemmatize the words in Python.

Dependent Library

spaCyby explosion

Python doticonstar image 26383 doticonVersion:v3.2.6doticon
License: Permissive (MIT)

💫 Industrial-strength Natural Language Processing (NLP) in Python

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            spaCyby explosion

            Python doticon star image 26383 doticonVersion:v3.2.6doticon License: Permissive (MIT)

            💫 Industrial-strength Natural Language Processing (NLP) in Python
            Support
              Quality
                Security
                  License
                    Reuse

                      If you do not have SpaCy that is required to run this code, you can install it by clicking on the above link and copying the pip Install command from the Spacy page in kandi.

                      You can search for any dependent library on kandi like Spacy

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