Named Entity Recognition
Bring our Named Entity Recognition (NER) expertise to your service to train your ML models and AI algorithms to identify the named entities in a text document with categorizations such as individuals, companies, dates, organizations, places, cities, and product terminologies.Contact Us Now
Our Named Entity Recognition Service Includes
Preprocessing of data involves named entity recognition (NER), i.e., the identification and categorization of textual information. Named entities often have varying lengths and formats, making NER difficult and requiring large amounts of hand-annotated data. The NER experts at Cogito are capable of accurately tagging and categorizing entities in text for machine learning.
To ensure that all of these words are included in a group, use a version of the BIO (Begin, Inside, Outside) annotation & labeling standard to indicate when groups begin and end.
Open Named Entity Recognition
Count on our assistance in developing a relationship detection algorithm that is able to locate and return the relationships’ text snippets and arguments.
Supervised Named Entity Recognition
Data extracted by Cogito can be used to train machine learning algorithms and manually label relationships between entities via supervised machine learning.
Targeted Named Entity Recognition
We can help you create AI algorithms that identify particular actions that link entities and related information using deep conventional neural networks.
Entity Named Entity Recognition for NLP
Use our NLP expertise to train AI models that comprehend entities-relationships in texts to help them understand relationships between multiple entities.
Industries We Serve
A variety of applications are facilitated by NER systems, including answering questions, retrieving information, and translating texts. In addition to improving part-of-speech tagging and parsing accuracy, NER can also be applied to other NLP tasks to enhance their accuracy.
Automated Named Entity Recognition can provide publishers with a way of identifying prominent individuals, organizations, and locations mentioned in articles. It further helps build relevant tags for each article to automatically categorize articles according to their defined tags.
NER makes it possible for businesses to categorize customer complaints into teams, departments, products, and company branches. Customer support requests can be automatically routed to the relevant department using an automated notification system developed with NER.
Finance & Banking
It’s time-consuming, tedious, and prone to human error to extract data from PDFs and websites in the private financial markets and banking space. NER can help banking & financial institutions evaluate profitability and credit risk more efficiently by tagging and classifying relevant data.
Outsource To Us
Building and scaling Named Entity Recognition can be done quickly with experienced and specially trained NER experts. Our Named Entity Recognition experts can offer you support tailored to your industry’s needs.
Quality on a Promise
Our team is committed to delivering high-quality Text Annotations. Our training data is therefore tailored for the applications of our clients.
Uncompromised Data Security
Data security and confidentiality are of utmost importance to us. At all points in the annotation process, our team ensures that no data breaches occur.
Scalable with Quick Turnaround Time
We at Cogito claim to have the necessary resources and infrastructure to provide Text Annotation services on any scale while promising quality and timeliness.
Besides offering flexible pricing, we can tailor our services to suit your budget and training data requirements with our pay-as-you-go pricing model.
Get Us On Board
A wide range of industries can use our Named Entity Recognition expertise to extract data from digital documents, websites, pdf, etc. Bringing together over 1500 data experts, Cogito boasts a wealth of industry exposure to help you develop successful NLP models that utilize Named Entity Recognition.