From Text to Numbers: Demystifying Text Preprocessing in NLP

📰 Medium · Machine Learning

Learn how to preprocess text data for machine learning models, converting raw text into numerical representations that machines can understand.

intermediate Published 19 Jun 2026
Action Steps
  1. Tokenize text data using libraries like NLTK or spaCy to split it into individual words or tokens.
  2. Remove stop words and punctuation from the tokenized text to reduce noise.
  3. Apply stemming or lemmatization to reduce words to their base form.
  4. Convert text data into numerical representations using techniques like bag-of-words or word embeddings.
  5. Use pre-trained language models like Word2Vec or GloVe to generate word embeddings.
Who Needs to Know This

Data scientists and machine learning engineers can benefit from this knowledge to improve the accuracy of their NLP models.

Key Insight

💡 Text preprocessing is a crucial step in NLP that converts raw text into numerical representations that machines can understand.

Share This
🤖 Learn how to preprocess text data for machine learning models! 📊

Key Takeaways

Learn how to preprocess text data for machine learning models, converting raw text into numerical representations that machines can understand.

Full Article

Title: From Text to Numbers: Demystifying
Text Preprocessing in NLP

URL Source: https://medium.com/@shivasairao10899aparaju/from-text-to-numbers-demystifying-text-preprocessing-in-nlp-3aee8f87aae9?source=rss------machine_learning-5

Published Time: 2026-06-19T17:27:57Z

Markdown Content:
[Sitemap](https://medium.com/sitemap/sitemap.xml)

[Open in app](https://play.google.com/store/apps/details?id=com.medium.reader&referrer=utm_source%3DmobileNavBar&source=post_page---top_nav_layout_nav-----------------------------------------)

Sign up

[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40shivasairao10899aparaju%2Ffrom-text-to-numbers-demystifying-text-preprocessing-in-nlp-3aee8f87aae9&source=post_page---top_nav_layout_nav-----------------------global_nav------------------)

[](https://medium.com/?source=post_page---top_nav_layout_nav-----------------------------------------)

Get app

[Write](https://medium.com/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fnew-story&source=---top_nav_layout_nav-----------------------new_post_topnav------------------)

[Search](https://medium.com/search?source=post_page---top_nav_layout_nav-----------------------------------------)

Sign up

[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40shivasairao10899aparaju%2Ffrom-text-to-numbers-demystifying-text-preprocessing-in-nlp-3aee8f87aae9&source=post_page---top_nav_layout_nav-----------------------global_nav------------------)

![Image 1: Unknown user](https://miro.medium.com/v2/resize:fill:32:32/1*dmbNkD5D-u45r44go_cf0g.png)

# From Text to Numbers: Demystifying

Text Preprocessing in NLP

[![Image 2: Aparaju_Shivasai_Rao](https://miro.medium.com/v2/da:true/resize:fill:32:32/0*NFoJx4wevuMnBQQy)](https://medium.com/@shivasairao10899aparaju?source=post_page---byline--3aee8f87aae9---------------------------------------)

[Aparaju_Shivasai_Rao](https://medium.com/@shivasairao10899aparaju?source=post_page---byline--3aee8f87aae9---------------------------------------)

Follow

4 min read

·

Jun 19, 2026

[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fvote%2Fp%2F3aee8f87aae9&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40shivasairao10899aparaju%2Ffrom-text-to-numbers-demystifying-text-preprocessing-in-nlp-3aee8f87aae9&user=Aparaju_Shivasai_Rao&userId=b3160c4a2464&source=---header_actions--3aee8f87aae9---------------------clap_footer------------------)

[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Frepost%2Fp%2F3aee8f87aae9&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40shivasairao10899aparaju%2Ffrom-text-to-numbers-demystifying-text-preprocessing-in-nlp-3aee8f87aae9&user=Aparaju_Shivasai_Rao&userId=b3160c4a2464&source=---header_actions--3aee8f87aae9---------------------repost_header------------------)

[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fbookmark%2Fp%2F3aee8f87aae9&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40shivasairao10899aparaju%2Ffrom-text-to-numbers-demystifying-text-preprocessing-in-nlp-3aee8f87aae9&source=---header_actions--3aee8f87aae9---------------------bookmark_footer------------------)

[Listen](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2Fplans%3Fdimension%3Dpost_audio_button%26postId%3D3aee8f87aae9&operation=register&redirect=https%3A%2F%2Fmedium.com%2F%40shivasairao10899aparaju%2Ffrom-text-to-numbers-demystifying-text-preprocessing-in-nlp-3aee8f87aae9&source=---header_actions--3aee8f87aae9---------------------post_audio_button------------------)

Share

If you’ve ever tried to feed a raw paragraph of text into a machine learning model, you already know the harsh truth: machines don’t understand English, Spanish, or any human language. They only understand numbers. Matrices. Vectors. Math.

This fundamental gap is where Natural Language Processing (NLP) text preprocessing comes into play. Before
Read full article → ← Back to Reads