Tech Insights
Named Entity Recognition

Named Entity Recognition

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What is Named Entity Recognition?

Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, times, quantities, monetary values, percentages, etc. It is commonly used in natural language processing for tasks like content classification, customer service, and improving search engine accuracy.

What other technologies are related to Named Entity Recognition?

Named Entity Recognition Complementary Technologies

Text classification can be used to categorize documents, which can be helpful for Named Entity Recognition preprocessing or post-processing.
mentioned alongside Named Entity Recognition in 24% (123) of relevant job posts
Named Entity Recognition is a subtask of information extraction, so it is strongly complementary.
mentioned alongside Named Entity Recognition in 16% (55) of relevant job posts
spaCy is a popular NLP library that provides tools and models for Named Entity Recognition, making it complementary.
mentioned alongside Named Entity Recognition in 1% (95) of relevant job posts

Which job functions mention Named Entity Recognition?

Job function
Jobs mentioning Named Entity Recognition
Orgs mentioning Named Entity Recognition
Data, Analytics & Machine Learning

Which organizations are mentioning Named Entity Recognition?

Organization
Industry
Matching Teams
Matching People

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