X has 326125 features, but MultinomialNB is expecting 59079 features as input.

This error message suggests that there is a mismatch between the number of features in your dataset and the expected number of features by the MultinomialNB algorithm.

MultinomialNB is a classification algorithm that is commonly used for text classification tasks, where each feature represents a word or a token in a text document. The algorithm expects a fixed number of features to be present in the training dataset, and this number should match the number of features in the test dataset.

In your case, it seems that the training dataset has 326125 features, while MultinomialNB is expecting only 59079 features. This means that there are some features in the training dataset that are not present in the test dataset, or vice versa.

To fix this issue, you need to ensure that the number of features in both the training and test datasets match. This can be done by either removing the extra features from the training dataset or adding the missing features to the test dataset. You can also consider using feature selection techniques to reduce the number of features in the dataset.