Named Entity Recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities in text into predefined categories such as person names, organizations, locations, and more. It is a crucial component in natural language processing applications, enhancing the ability of machines to understand and process human language by identifying relevant entities within unstructured data.

Named Entity Recognition

Information extraction is a process in natural language processing that aims to automatically retrieve structured information from unstructured text. It involves identifying and categorizing key pieces of data, such as entities, relationships, and events, to facilitate data analysis and understanding.

information extraction

named entities

predefined categories

person names

organizations

locations

Natural language processing (NLP) is a field at the intersection of computer science, artificial intelligence, and linguistics, focused on enabling computers to understand, interpret, and generate human language. It encompasses a wide range of applications, from speech recognition and sentiment analysis to machine translation and conversational agents, leveraging techniques like machine learning and deep learning to improve accuracy and efficiency.

natural language processing

Machines understanding human language

Unstructured data refers to information that does not have a predefined data model or is not organized in a pre-defined manner, making it challenging to analyze using traditional data processing methods. It includes diverse formats like text, images, video, and social media posts, requiring advanced techniques like natural language processing and machine learning for meaningful insights.

unstructured data

Understanding Named Entity Recognition: Techniques and Applications

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Natural Language Processing: Techniques and Applications

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Tokenization

Text Preprocessing

Text Tokenization

Introduction to Natural Language Processing

Text Representation

Fundamentos de los modelos de lenguaje

تحليل النصوص العربية

Introduction to Natural Language Processing (NLP)

Text Processing Techniques

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Text Representation Techniques

Text Preprocessing Techniques for Medical Data

Introduction to Text Processing

Introduction to Language Models

Text Preprocessing and Representation

Natural Language Processing

Introduction to Text Preprocessing

Natural Language Processing and Its Applications

Introduction to Text Processing and Language Models

Fundamentals of Language Modeling and Text Preprocessing

Introduction to Text Processing and Language Modeling

Relevant Degrees

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