NLP

Natural Language Processing

Definition

Natural Language Processing (NLP) refers to the field of artificial intelligence (AI) that deals with the automated processing, analysis, and interpretation of natural language. The goal is to understand and process human language in such a way that computers can respond to it meaningfully or work with it.

How it works

NLP combines methods from linguistics, computer science, and machine learning. Texts or spoken language are first broken down into smaller units (e.g., words, sentences, or tokens), analyzed, and processed using statistical models or neural networks. On this basis, meanings can be recognized, connections can be derived, or even new texts can be generated.

Areas of application

  • Voice assistants (e.g., Alexa, Siri)
  • Machine translation (e.g., DeepL, Google Translate)
  • Text analysis (e.g., sentiment analysis in customer feedback)
  • Chatbots in customer service
  • Document processing, such as the automatic reading and understanding of invoices or contracts

Significance for companies

NLP enables companies to automatically process large amounts of unstructured data, such as emails, contracts, or invoices. NLP increases efficiency, particularly in the area of document processing (Intelligent Document Processing, IDP), as relevant information can be recognized, extracted, and transferred to systems more quickly.

Conclusion

NLP is a key technology in the field of AI that helps companies automate processes, improve customer experiences, and make information from texts efficiently usable.

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