Facebook ‘DeepText’ AI will analyse user posts across 20 languages

Facebook already says that its AI systems report more offensive photos than humans on its social network.

The conpany also revealed that “to get closer to how humans understand text, we need to teach the computer to understand things like slang and word-sense disambiguation. As an example, if someone says, ‘I like blackberry,’ does that mean the fruit or the device?”

The deep learning-based text understanding engine is already being tested on Facebook Messenger.

For example, when DeepText identifies a sentence it understands you need a ride, it will suggest you use Messenger transportation integrations with services like Uber and Lyft.

If it detects that you’re trying to sell something in a status update, for example “I would like to sell my old bike for $200, anyone interested?” DeepText would be able to identify that the post is about selling something and will throw meaningful information such as the object being sold and its price.

Facebook aims to use that ability to make better recommendations to people, both about related posts and related services available on Facebook and to improve people’s experiences.

“DeepText” can also be used to filter out spam or any other undesirable content and present more of the content that people want to see.