Introduction to Natural Language Processing

What Is NLP?

Natural Language Processing is a branch of AI that enables computers to analyze, interpret, and generate human language.

Human language is complex because words can have multiple meanings, sentences can be ambiguous, and meaning often depends on context.

For example, the word bank may refer to a financial institution or the side of a river. NLP systems use linguistic patterns and statistical or neural models to process such language.

Applications of NLP

NLP is used in:

• Chatbots and virtual assistants.
• Sentiment analysis of customer reviews.
• Language translation.
• Spam detection.
• Text summarization and information extraction.
• Search engines and document classification.

Modern NLP systems frequently use deep learning and transformer architectures to understand relationships between words and larger passages of text.

The NLP Workflow

A typical NLP workflow involves:

1. Collecting text data.
2. Cleaning and preparing the text.
3. Converting text into a numerical representation.
4. Applying an algorithm or trained model.
5. Evaluating the results.
6. Using the output in an application.

The exact workflow depends on whether the task involves classification, translation, summarization, or text generation.