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Named Entity Recognition
What is Named Entity Recognition (NER)?
A technique used in natural language processing (NLP) called named entity recognition (NER) is used to extract data from text. In NER, significant information in a text known as named entities is found and categorized. Named entities are the main subjects of a text, including names, places, businesses, events, and products. They can also include themes, topics, times, numbers, and percentages. Entity extraction, chunking, and identification are further names for NER. It is utilized in a variety of artificial intelligence (AI) fields, including as deep learning, neural networks, and machine learning (ML). NLP systems, including chatbots, sentiment analysis tools, and search engines, depend heavily on NER. It is employed in social media analysis, human resources (HR), customer service, finance, and higher education.
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