Automated Entity Recognition for Text Analysis

The Text entity extractor demo is a web-based application that allows users to extract entities such as people, organizations, and locations from large bodies of text. It uses Natural Language Processing (NLP) techniques to identify and extract the relevant entities. It can also find product names, expressions of time, monetary values, and more.

The entity extractor demo leverages the power of cloud to perform the Natural Language Processing(NLP) task entity recognition on the text input.

The entity extractor demo can be useful for various educational purposes. It has  a variety of applications such as: Text classification, extracting relevant information from unstructured text such as resumes, emails, etc., identifying named entities such as people, organizations, and locations. Text extracting is used to highlight important pieces of information so you can establish meaning in a body of text without even reading it.

In this demo provide the text and get your entities separated in the form of table in the output box. Switch between the histogram and frequency buttons to see the output in different forms. Note: Please remove extra paragraph spaces from the text.