In my piece on neural network art, I looked at how bots generate images based on their existing â€˜knowledgeâ€™ of shape and form. These computers are trained on large data sets of images, all classified and tagged so the machine can make sense of them. Googleâ€™s Deep Dream, for example, uses a set of ImageNet material with 120 dog categories, explaining why almost everything it hallucinates has some kind of dog, however subtle.
Itâ€™s easy to disregard memes as the scourge of your news feed â€” which used to be populated with nothing but narcissistic diary entries â€” but they have a much richer history than that. Memes are iterative visual jokes developed by a community. Confined to the internet, where the tools to remix and republish are in the hands of every user, they should technically see more innovation as distribution increases. As weâ€™ve seen with the explosion of memes of Facebook, this is no longer the case.
Are you ready to market your SaaS product to enterprises? Do you know what makes or breaks a million dollar deal? There’s a huge segment of SaaS companies that target only SMBs, and an increasingly well-funded bunch that go after the enterprise market from the outset. Some, like Dropbox, Asana, and HubSpot, have gradually scaled their products to meet the needs of enterprise customers.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".