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Saved by uncleflo on February 19th, 2018.
Twitter is a popular social network where users can share short SMS-like messages called tweets. Users share thoughts, links and pictures on Twitter, journalists comment on live events, companies promote products and engage with customers. The list of different ways to use Twitter could be really long, and with 500 millions of tweets per day, there’s a lot of data to analyse and to play with. This is the first in a series of articles dedicated to mining data on Twitter using Python. In this first part, we’ll see different options to collect data from Twitter. Once we have built a data set, in the next episodes we’ll discuss some interesting data applications. Update July 2016: my new book on data mining for Social Media is out! Part of the content in this tutorial has been improved and expanded as part of the book, so please have a look. Chapter 2 about mining Twitter is available as a free sample from the publisher’s web site, and the companion code with many more examples is available on my GitHub
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Saved by uncleflo on September 16th, 2014.
For publishers to maximize their advertising revenue, they need to precisely target the delivery of advertising to the right audience, at the right time. An ad server platform must provide an easy way to describe a target audience, and then deliver ads to that audience with pinpoint accuracy. And since every business has different ways of describing their audience, an ad server should flex to accommodate different targeting methodologies. In addition, companies must continually decide how to optimize the delivery of both premium and unsold inventory to maximize revenue. OpenX leverages advanced algorithms to help publishers optimize their ad revenue, and offers unique options for targeting users.
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Saved by uncleflo on July 17th, 2014.
We bring great content to audiences wherever they are. Publishers generate a more engaged, satisfied audience while increasing long-term monetization. Connect your content with highly engaged audiences and customers across the web. The world’s largest and most trusted content discovery platform.
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