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Learn AI with Python · Lesson

Working with Text Data

Introduction to NLP pipelines.

1

Working with Text Data

Natural Language Processing (NLP) focuses on enabling machines to understand and process human language. NLP applications include chatbots, sentiment analysis, and machine translation.

In this lesson, we will explore the basics of working with text data.

Working with Text Data — illustration 1

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Text Data in NLP

Text data is unstructured and often messy. Before it can be used for machine learning, it must be processed into a structured format. Common steps include:

  • Tokenization: Breaking text into smaller units, such as words or sentences.
  • Normalization: Cleaning and standardizing text.
  • Feature Extraction: Converting text into numerical formats.

All lessons in this course

  1. Working with Text Data
  2. Tokenization and Normalization
  3. N-Gram Models
  4. Sentiment Analysis Concepts
  5. Transformer-Based Models
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