The Startup That Helps You Analyze Twitter Chatter in Real Time | WIRED

“Don’t make me read,” says today’s consumer.

“Show me.”

Whether you love or hate the demise of the written word, you have to admit that today’s best content generally doesn’t come in the form of an essay. Instead, we gravitate towards photos, videos, illustrations, and GIFs.

The less we have to read, the better.

9 Reasons Why You Should Use VISUAL Content Marketing

With a community of over 300 million active monthly users, Instagram is one of the fastest growing social media platforms with high engagements, and yet is still a very untapped territory for most businesses. Instagram reports that on average there are 70 million photos shared and 2.5 billion likes per day. But like approaching any social media platform it is important to create a strategy before jumping right in.

There's now a web browser version of Facebook Messenger to go along with the standalone smartphone apps the company is making everyone use. No, Facebook the website isn't taking away your ability to chat with friends. After the controversy that surrounded divorcing the two central features on mobile, Facebook is adamant that Messenger isn't leaving Facebook.com anytime soon. Instead, Messenger for the web — which you'll find at Messenger.com starting today — focuses solely on simple conversations and leaves the other parts of Facebook that can be distracting to the primary site.

Social media is great for checking out your ex's profiles and your neighbor's vacation pics, but its real power lies in saving you money. You can find coupons, deals, and even negotiate with companies directly. Here are some easy ways to leverage these connections to save money on everything from everyday purchases to your monthly bills.

Catherine Havasi wants to help businesses understand what people are saying on Twitter, Facebook, and other online feeds and forums—right now.

Havasi is the co-founder and CEO of artificial intelligence startup Luminoso, a four-year-old company that spun out of the MIT Media Lab. Basically, the company uses natural language processing and machine learning technologies to help businesses analyze what consumers are saying across all kinds of communications channels, including news sites, blogs, online forums, and, yes, social media. Previously, the company examined only archived data, but now it can analyze all that chatter in real time.

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