Emoji add pictorial sparkle to typed conversations; an image of a tiny slice of pizza or a cheeseburger, for instance, makes a simple question like “What’s for dinner?” a little more fun to ask. Hunting for the right one to express a more complex thought, though, can leave you feeling a bit like the Face with Open Mouth and Cold Sweat character.
Dango, a new Android app from the Toronto-based startup Whirlscape, aims to make it easier to sift through the ever-growing array of choices. There are well over 1,000 characters, plus many variations, according to the group that manages emoji, the Unicode Consortium. This month alone, 72 have been added.
The Dango app is named for a Japanese dessert consisting of sweet dumpling balls on a skewer (and yes, there’s an emoji for it). It sits atop other communication apps like Slack, Snapchat, or the built-in texting app on your phone. It suggests emoji that it thinks fit well with what you’re typing or in response to what someone just typed to you. You tap on the suggestion to add to the conversation.
Rather than simply coming up with word associations (such as a chicken emoji if you type “chicken”), Dango uses deep-learning techniques to try to figure out what whole sentences are expressing and then give you suggestions it thinks are related. For instance, if you type “She said yes!” Dango will show you the emoji for a ring and a bride with veil, among others.
Xavier Snelgrove, Whirlscape’s cofounder and chief technology officer, says Dango has been trained by scanning posts on Instagram, Reddit, and Twitter. The app only works on Android phones for now, since Apple doesn’t allow software developers to build such a tool, Snelgrove says; if it were on the iPhone, it would have to be part of a keyboard app. Separately, Whirlscape does sell a keyboard app called Minuum that includes emoji prediction, but it’s doing simple word association.
The 50-year-old problem that eludes theoretical computer science
A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach.
The moon didn’t die as early as we thought
Samples from China’s lunar lander could change everything we know about the moon’s volcanic record.
Forget dating apps: Here’s how the net’s newest matchmakers help you find love
Fed up with apps, people looking for romance are finding inspiration on Twitter, TikTok—and even email newsletters.
Inside the machine that saved Moore’s Law
The Dutch firm ASML spent $9 billion and 17 years developing a way to keep making denser computer chips.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.