How to Solve Attribute error using SpaCy in Python
by vigneshchennai74 Updated: Feb 1, 2023
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
In this solution we have used Spacy library.
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']
- Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
- 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!
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in Python 3.7.15 Version
- 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.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Python 25599 Version:v3.5.1 License: Permissive (MIT)
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