Table of Contents
What is the difference between entity recognition and key phrase extraction?
Keyphrase extraction increases the understanding of the text you analyze. Entity recognition is the process of splitting the text into entities: people, organizations, locations, dates, etc.
Why do we need entity resolution?
Enter entity resolution. It’s the best way to connect billions of data points spread across multiple systems into a trusted, accurate single view. It creates a complete, meaningful view of data across the enterprise that reflects real-world people, places, and organizations—and the relationships between them.
What is entity mention?
Entity mentions are the words in text that refer to entities, such as “Bill Clinton,” “White House,” and “U.S.” Entity resolution (aka, entity linking) takes it one step further and distinguishes between similarly named entities such as George W. Bush and George H. W. Bush.
What is named entity recognition and how does it work?
With named entity recognition, you can extract key information to understand what a text is about, or merely use it to collect important information to store in a database. In this guide, we’ll explore how named entity recognition works, its applications in business, and how to perform entity extraction using no-code tools like MonkeyLearn.
What is entity resolution and why is it important?
Entity resolution is the linchpin to making entity extraction truly useful. While there may be 16 entity mentions in a document, once the coreference resolution has been completed, there may only be three unique entities!
What is an entity in a text?
Entities can be names of people, organizations, locations, times, quantities, monetary values, percentages, and more. With named entity recognition, you can extract key information to understand what a text is about, or merely use it to collect important information to store in a database.
How do computers recognize entities?
For example, in the sentence “Mark Zuckerberg is one of the founders of Facebook, a company from the United States” we can identify three types of entities: For computers, however, we need to help them recognize entities first so that they can categorize them. This is done through machine learning and Natural Language Processing (NLP).