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Glossary
Data Management

Natural language processing (NLP)

A branch of computer science and AI, with the aim of enabling computers to understand, interpret and generate natural language.

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Natural Language Processing (NLP) Tasks

  • Voice recognition: Converting spoken language into text.
  • Text analysis: Extracting information from texts (e.g. entities, sentimental analyses, topic categorization).
  • Machine translation: Translation of texts from one language to another.
  • Text generation: Preparation of texts (e.g. summaries, chatbots, creative texts).
  • Dialog systems: Development of systems that can interact with people in natural language.

NLP applications

  • Machine translation: Google Translate, DeepL
  • Voice control: Siri Alexa Cortana
  • Chatbots: customer service, virtual assistants
  • Copywriting: Advertising texts, articles, social media posts
  • Sentiment analysis: opinion research, market research
  • Search engines: Google Search, Bing
  • Spam filter: email filtering, social media moderation

NLP process

  • Rule-based approaches: Definition of rules for processing speech.
  • Statistical models: Application of statistical methods to analyze language data.
  • Neural networks: Using deep learning

Let's talk about NLP and other technology-related topics. Possible benefits include architecture, Machine learning, Reporting, Business intelligence, Customer Centricity or even Data Strategy.

Note: Our team benefited from the support of AI technologies while creating and maintaining this glossary.

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