Named Entity Recognition
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Explore more → **Named Entity Recognition**
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
Text classification can be used to categorize documents, which can be helpful for Named Entity Recognition preprocessing or post-processing.
information extraction
Named Entity Recognition is a subtask of information extraction, so it is strongly complementary.
spaCy
spaCy is a popular NLP library that provides tools and models for Named Entity Recognition, making it complementary.
Number of organizations that mention technology
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Which job functions commonly mention Named Entity Recognition?
Prompt Engineer
0.1% of all Prompt Engineer jobs mention Named Entity Recognition
View 2
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention Named Entity Recognition
View 69
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention Named Entity Recognition
View 78
jobs on Sumble
Data Scientist
0.1% of all Data Scientist jobs mention Named Entity Recognition
View 132
jobs on Sumble
Data, Analytics & Machine Learning
294 Data, Analytics & Machine Learning jobs mention Named Entity Recognition
View 294
jobs on Sumble
Which organizations are mentioning Named Entity Recognition?
PwC
Professional Services
Amazon
Retail Trade
Citi
Finance and Insurance
Deloitte
Professional Services
Accenture
Professional Services
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