What is an NLP Pipeline?

An NLP pipeline is like a step-by-step recipe for creating powerful NLP applications.

Think of it as a roadmap that takes raw data and transforms it into a polished NLP solution ready for the real world. 🚀 Every NLP software follows a systematic approach to ensure accurate and efficient performance.

Here’s a quick walkthrough of the major steps involved:

Steps in an NLP Pipeline

1. Data Acquisition:

It all starts with collecting the right data. Whether it’s tweets, reviews, or news articles, having diverse and relevant data is crucial for building a strong NLP system.

2. Text Preparation

Before building an NLP model, the raw text must be prepared meticulously. Think of it as cleaning and organizing ingredients before cooking a delicious meal. 🧹🍲 Text preparation can be divided into three key steps:

1. Text Cleanup: Getting Rid of the Mess

Raw text is often full of unnecessary clutter, such as:

• Special characters (@,#,$,%)
• Extra spaces or line breaks
• Typos or inconsistent formatting

Example:

Raw text: "Thiiiss is an examplle!!!!!!! "

Cleaned text: "This is an example."

Cleanup ensures the data is consistent and ready for further processing.