This is for a movie reviews sentiment analysis project.
I imported Pandas, NLTK and Matplotlib in the beginning.
I tried to execute the below code in Google Colab:
data['text'] = data['text'].apply(clean_review)
but I got this error ..>
KeyError Traceback (most recent call last) /usr/local/lib/python3.10/dist-packages/pandas/core/indexes/base.py in get_loc(self, key, method, tolerance)
This is the function I tried to apply for the above code ....>
def clean_review(review): str = ''.join(word for word in review.split() if word.lower() not in stopwords.words('english')) return str
I tried checking spelling mistakes in the code.
The error you’re encountering is related to the KeyError, and it suggests that the column ‘text’ does not exist in your DataFrame (data). Before applying the clean_review function, you need to ensure that the ‘text’ column exists in your DataFrame.
KeyError
data
clean_review
Here are a few steps you can take to troubleshoot and fix the issue:
print(data.columns)
Ensure that ‘text’ is present in the list of columns.
head()
print(data.head())
Check if the ‘text’ column is present in the displayed rows.
info()
print(data.info())
This will provide information about the columns and their data types.
Ensure DataFrame is Loaded: Make sure that your DataFrame (data) is correctly loaded with the data. If you are loading data from a file, ensure that the file path is correct.
Case Sensitivity: Python is case-sensitive. Ensure that the column name is exactly ‘text’ and not ‘Text’ or ‘TEXT’.
Here is an example of how you can check and apply the function:
import pandas as pd from nltk.corpus import stopwords # Assuming data is a DataFrame with a 'text' column data['text'] = data['text'].apply(clean_review)
After checking and verifying the DataFrame structure, if the issue persists, please provide more details about how your DataFrame (data) is created or loaded, and I’ll be happy to assist you further.