Named entity extraction also known as named entity recognition is the process of identifying and extracting named entities from unstructured text data. The entities can be people, locations, organizations, products, etc.
You can also use entity recognition to identify and organize relevant data from unstructured text.
BytesView's advanced entity extraction solution can analyze unstructured text including reviews, emails, surveys, social media conversations, etc. Identify named entities from large volumes of textual data.
Build and train custom models to identify and track entities specific to your business.
Online customer reviews can be a great source of insights for focused improvement. Analyze the feedback of customers and identify what they like and what they don't.
Use Named Entity recognition to identify areas of your business that need improving.
As businesses grow and increase the size of their target audience support teams are often overwhelmed by the massive inflow of support tickets.
Use named entity extraction to manage support tickets and increase the response rates of your customer support teams.
Recruiters spend a lot of time going through tons of resumes to find the right candidate. Leverage named entity recognition and define tags to narrow down the list of candidates.
Analyze their names, skills, education, experience and more with ease and find the right candidate as per your requirements.
Given below are the steps to access the BytesView entity extraction API. You can either gather the data by yourself in an excel/CSV format or ask us to do so.
Now train custom entity extraction models with data related to your organization to further increase accuracy of the output.
Let BytesView platform helps you solve all your text analysis needs