Name Entity Recognition
Named entity recognition (NER) is a subtask of natural language processing that involves identifying and categorizing named entities in text, such as names of people, organizations, and locations. NER has a wide range of applications, from information extraction to sentiment analysis, and is a crucial component in many AI systems.
Name Entity Recognition
Quality Name Entity Recognition services at scale
Named entity recognition (NER) is a vital tool for businesses looking to analyze large volumes of text efficiently. Our NER solutions can help companies prioritize and classify news content and generate candidate shortlists for recruiting. We optimize text searching by identifying and categorizing named entities, making it easier to find relevant information from an extensive collection of documents. With our NER solutions, businesses can efficiently sort through thousands of texts and CVs to find the needle in the haystack. Trust us to provide the semantic efficiency you need.
A for Analytics help businesses to unlock massive value with named entity recognition
At A for Analytics, we have a team of professionals that can help you deploy your named entity recognition using a wide range of industry-leading solutions. Our team has the domain knowledge and proficiency in the AI tool needed for excellent deployment. We are light years ahead of other service providers. Businesses trust us to train their algorithms for them to be able to identify and locate entity mentions in a whole body of plain text. With our detailed entity recognition annotation machine learning, companies can extract and gather helpful information from a large body of text. Our named entity recognition solutions help businesses unlock value in all use cases of this solution.
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