Unlocking the Potential of Text: A Closer Look at Pre-Embedding Text Cleaning Methods

This article will discuss different cleaning techniques that are essential to obtain maximum performance from textual data.

For the demonstration of the text cleaning methods, we will use the text dataset named ‘metamorphosis’ from Kaggle.

Let’s start with importing the required Python libraries for the cleaning process.

import nltk, re, string
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer

Now let’s load the dataset.

file_directory = 'link-to-the-dataset-local-directory'
file = open(file_directory, 'rt', encoding='utf-8') …

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