IBM
ibm.com › think › topics › named-entity-recognition
What Is Named Entity Recognition? | IBM
3 weeks ago - Named entity recognition (NER) is a component of natural language processing (NLP) that identifies predefined categories of objects in a body of text.
GeeksforGeeks
geeksforgeeks.org › nlp › named-entity-recognition
Named Entity Recognition - GeeksforGeeks
October 4, 2025 - Named Entity Recognition (NER) in NLP focuses on identifying and categorizing important information known as entities in text. These entities can be names of people, places, organizations, dates, etc.
[D] Named Entity Recognition (NER) Libraries
If spaCy’s NER isn’t picking up what you need, you’ll probably need to look into creating your own annotations and fine tuning a model or training a custom model. It isn’t too hard using BIO/BILOU tags. Things like “raw materials” and particularly niche models and brands are unlikely to be picked up by off the shelf solutions. More on reddit.com
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January 7, 2023Named Entity Recognition on new entities
spacy does a great job of supporting domain specific and custom named entities More on reddit.com
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April 6, 2022SOTA for Named Entity Recognition and Entity resolution
You can try our zero-shot and few-shot NER library which can use GPT to perform predictions. https://github.com/plncmm/llmner More on reddit.com
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September 1, 2023Introduction to Named Entity Recognition (NER)
Heads up, this is essentially an ad for a paid NLP API. More on reddit.com
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August 24, 2020What is Named Entity Recognition (NER)?
Named entity recognition (NER) is a subfield within natural language processing (NLP) that focuses on identifying and classifying specific data points from textual content. NER works with salient details of the text, known as named entities — single words, phrases, or sequences of words — by identifying and categorizing them into predefined groups.
altexsoft.com
altexsoft.com › blog › named-entity-recognition
Named Entity Recognition: The Mechanism, Methods, Use Cases,
What are the approaches to NER?
The main ones are rule-based, machine learning-based, and deep learning-based approaches to perform named entity recognition.
altexsoft.com
altexsoft.com › blog › named-entity-recognition
Named Entity Recognition: The Mechanism, Methods, Use Cases,
Videos
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Best way to do Named Entity Recognition in 2024 with GliNER and ...
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Named Entity Recognition (NER): NLP Tutorial For Beginners - S1 ...
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Named Entity Recognition (NER) in Python: Pre-Trained & Custom ...
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What is Named Entity Recognition (NER) - YouTube
Tonic.ai
tonic.ai › guides › named-entity-recognition-models
What Is Named Entity Recognition (NER): How It Works & More | Tonic.ai
Named Entity Recognition (NER), ... that identifies and classifies words in text into predefined categories, or entity types, such as names of persons, organizations, locations, dates, quantities, and monetary values...
Published March 11, 2025
Dataknowsall
dataknowsall.com › blog › ner.html
An Accessible Guide to Named Entity Recognition
March 5, 2024 - How to automatically recognize proper entities from text using Natural Language Processing
DataCamp
datacamp.com › blog › what-is-named-entity-recognition-ner
What is Named Entity Recognition (NER)? Methods, Use Cases, and Challenges | DataCamp
September 13, 2023 - Named Entity Recognition (NER) ... that classifies named entities into predefined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, and more...
AltexSoft
altexsoft.com › blog › named-entity-recognition
Named Entity Recognition: The Mechanism, Methods, Use Cases,
November 1, 2023 - Named entity recognition (NER) is a subfield of natural language processing (NLP) that focuses on identifying and classifying specific data points from textual content. NER works with salient details of the text, known as named entities — ...
TechTarget
techtarget.com › whatis › definition › named-entity-recognition-NER
What Is Named Entity Recognition (NER)? | Definition from TechTarget
Named entity recognition (NER) is a natural language processing (NLP) method that extracts information from text. NER involves detecting and categorizing important information in text known as named entities.
ScienceDirect
sciencedirect.com › topics › computer-science › named-entity-recognition
Named Entity Recognition - an overview | ScienceDirect Topics
Named Entity Recognition (NER) is a fundamental subtask of information extraction and Natural Language Processing (NLP) that involves identifying and classifying specific entities within unstructured text. These entities include individuals, organizations, locations, dates, quantities, currencies, ...
Expressanalytics
expressanalytics.com › blog › what-is-named-entity-recognition-ner-benefits-use-cases-algorithms
What is Named Entity Recognition (NER): Benefits, Use Cases
October 28, 2024 - Named entity recognition (NER) is a process of identifying and classifying named entities in textual content. This can be beneficial for a variety of tasks, such as information extraction, question answering, and text summarization.
Medium
medium.com › @kanerika › named-entity-recognition-a-comprehensive-guide-to-nlps-key-technology-636a124eaa46
Named Entity Recognition: A Comprehensive Guide to NLP’s Key Technology | by Kanerika Inc | Medium
September 24, 2024 - Named Entity Recognition (NER) is a key technique in Natural Language Processing (NLP) that focuses on identifying and classifying specific entities from unstructured text. These entities can be names of people, organizations, locations, dates, ...
Encord
encord.com › blog › named-entity-recognition
What Is Named Entity Recognition? Selecting the Best Tool to Transform Your Model Training Data
January 22, 2025 - Named Entity Recognition (NER) ... involves locating and classifying named entities mentioned in unstructured text into predefined categories such as names, organizations, locations, dates, quantities, percentages, and monetary values...
Kairntech
kairntech.com › home › blog › the complete guide to named entity recognition (ner): methods, tools, and use cases
The Complete Guide to Named Entity Recognition (NER) - Kairntech
June 3, 2025 - Named Entity Recognition (NER) is a core NLP technique used to automatically detect and classify entities within unstructured text. These entities can represent people, organizations, locations, dates, quantities, or any other predefined category ...
Turing
turing.com › kb › a-comprehensive-guide-to-named-entity-recognition
A Comprehensive Guide to Named Entity Recognition (NER)
Named entity recognition primarily uses NLP and machine learning. With NLP, an NER model studies the structure and rules of language and tries to form intelligent systems that are capable of deriving meaning from text and speech.
arXiv
arxiv.org › html › 2401.10825v3
Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
December 17, 2024 - Named Entity Recognition (NER) is a subfield of computer science and Natural Language Processing (NLP) that focuses on identifying and classifying entities in unstructured text into predefined categories, such as persons, geographical locations, and organizations (Grishman and Sundheim, 1996).
Analytics Vidhya
analyticsvidhya.com › home › a beginner’s introduction to ner (named entity recognition)
A Beginner's Introduction to NER (Named Entity Recognition)
March 20, 2024 - Ans. Named Entity Recognition (NER) is an NLP technique that identifies and classifies named entities in text, like names of people, places, organizations, dates, monetary values, etc. For example, in “Apple Inc.
Wikipedia
en.wikipedia.org › wiki › Named-entity_recognition
Named-entity recognition - Wikipedia
September 22, 2025 - Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) 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 (PER), ...
Microsoft Learn
learn.microsoft.com › en-us › azure › ai-services › language-service › named-entity-recognition › concepts › named-entity-categories
Entity categories recognized by Named Entity Recognition in Azure Language in Foundry Tools - Foundry Tools | Microsoft Learn
3 weeks ago - Named Entity Recognition (NER) is a computational linguistic process within natural language processing (NLP) that uses predictive models to detect and identify entities within unstructured text.
Nlplanet
nlplanet.org › course-practical-nlp › 02-practical-nlp-first-tasks › 14-named-entity-recognition
2.14 Project: Named Entity Recognition — Practical NLP with Python
Named Entity Recognition (NER) is the NLP task of identifying key information (entities) in text. An entity is a set of contiguous words that appear in the document and refers to the same thing.
Shaip
shaip.com › home › what is named entity recognition (ner) – example, use cases, benefits & challenges
What is Named Entity Recognition (NER) : Definition, Types, Benefits, Use Cases, and Challenges
July 8, 2025 - Named Entity Recognition (NER) is a powerful NLP technique that identifies and classifies key entities within text, enabling machines to understand and process human language more effectively.
Stanza
stanfordnlp.github.io › stanza › ner.html
Named Entity Recognition - Stanza - Stanford NLP Group
The named entity recognition (NER) module recognizes mention spans of a particular entity type (e.g., Person or Organization) in the input sentence. NER is widely used in many NLP applications such as information extraction or question answering systems.