Machines can read, but do they understand?

A novel NLP application built on a Google transformer model can help predict ratings transitions

Robot reading

In the quest to give human abilities to machines, reading text and assimilating its context is a crucial step. Understanding spoken or written language allows machines to process large amounts of unstructured data such as news or documents—freeing humans from the billions of hours of drudgery necessary before they can be used to inform decision-making.

The theoretical foundations for natural language processing (NLP), a branch of artificial intelligence that studies how to process textual data

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here:

You are currently unable to copy this content. Please contact [email protected] to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Waterstechnology? View our subscription options

If you already have an account, please sign in here.

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: