LinkedIn announced the acquisition of Newsle, a machine learning data analytics startup

Source: Internet
Author: User
Keywords LinkedIn Newsle Machine Learning Disambiguation
Tags analysis analytics based behavior data information internet internet +

Netease Technology News July 15, according to foreign media reports, LinkedIn announced on Monday the acquisition of machine learning data analysis startup Newsle. The details of both transactions are not published.

Founded in 2011, Newsle is a platform that can automatically track and update the information related to a given character based on Internet data, and provide its subscribers with information subscription services. In other words, Newsle's users, through their services, can track any CEO's public behavior in real time, including being interviewed, reported, or made public on the Internet.

LinkedIn said Newsle's machine learning and data analytics capabilities are seamlessly integrated with its professional social platform.

"For example, if you learn more about other people in your network - for example, when they are in the news - this will be very helpful for your next meeting with you." LinkedIn "We are excited to work with the Newsle team and combine its technology with our core assets to create a more productive and successful experience that will continue to make you and other professionals more productive. "

In the three years since its establishment, Newsle has focused most of its energy on developing and refining its natural language processing and disambiguation algorithms. The platform so far has a total of about 2 million users.

For LinkedIn's acquisition, Newsle wrote on its website:

"LinkedIn is also keen to provide insights to help professionals get the job done, and the LinkedIn acquisition will help us accelerate our dreams by opening Newsle to all of our users."

Upon completion of the acquisition, Newsle all members and two founders, Jonah Varon and Axel Hansen, will be located at LinkedIn headquarters. But initially, Newsle will remain independent. (Lu Xin)

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