Megaphone

In our latest of use case posts, we will look at two brands – Home Depot and Lowes – and compare their share of voice. Does one brand have more social presence than the other? Does one brand outperform the other in terms of volume or hashtag and mention usage? How do they compare geographically? Here’s a simple, end-to-end scenario for collecting, consuming and analyzing DataSift data to discover your share of voice. Let’s find…

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In an article titled “Watch how word of Ebola exploded in America” Time.com last week published data showing how 10.5 million tweets referenced Ebola between September 16 and October 6. Predictably there has been a massive surge in the conversation since the first Ebola diagnosis inside the USA on September 30. The article features a graph from @twitterReverb which captures this surge brilliantly, but also highlights some of the limitations of relying solely on traditional…

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Query builder

If you’re not a programmer or wouldn’t know one end of an API from the other, then you need a simple graphical interface for writing filters and getting results. Our platform filters vast amounts of human data from dozens of sources in real-time so writing filters could be a complex programming task. However, Query Builder represents all the sources and augmentations graphically, allowing complex filters to be constructed with a few mouse clicks. To find…

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Brand Monitoring

Timely, accurate and cost-effective brand monitoring is a Holy Grail for any organization. But how do you find out about the conversations happening around your brand? Where the content is being shared? By how many users? Or who your audiences are? DataSift provides a powerful means of monitoring your brand: collecting, consuming and analyzing the social data you need to underpin your decision-making. In this Brand Monitoring use case scenario, we will assume your organization…

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Jason

With the Halloween fast approaching, we wanted to share with you the biggest differences between the world’s most famous Jason – from Friday the 13th and JSON, our best friend at DataSift. Once upon a time, there were a bunch of web services that wanted to exchange data with one another. The problem was, these services were all written by different groups of developers and they did not communicate with each other about how data…

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From a performance of “the Harlem Shake” by mobs of people in Tokyo to #makeuptransformations by women and men alike, social networks like Tumblr are spreading internet memes and slang around the world at a rate never seen before. In today’s “Sifting Around”, I’m going to take a look at the term “Bae”.  Not the global defense and aeronautics company BAE Systems, mind you.  I’m referring to a slang word that Urban Dictionary defines as…

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One of the strengths of the DataSift platform, is the ease with which filtered interactions can be sent to a variety of destinations. Google BigQuery is a good example. It takes no more than 10 minutes to configure a database in Google BigQuery, then it takes no more than 5 minutes to configure a filter in the DataSift platform which sends matching interactions straight to BigQuery. Sounds too good to be true? Register for this…

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Yesterday we showed the top 10 WordPress categories worldwide. Wonder how we did it? Each month, DataSift receives approximately 15-25 million full-text WordPress blog posts into our platform. Recently, the question of what topics are discussed on blogs was raised by one of our customers. Rather than simply say “everything” – we decided to take a deeper look into the content and substance of WordPress blogs. Using DataSift’s Salience Topics and Salience Entities augmentations, we…

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And yes, you’ve guessed correctly ‘Technology’ is #1. When you think about blogs, there’s a tendency to think about them as individual publications. I read TED and TechCrunch for tech and industry news, followed The Knot while I was planning my wedding and get on-going inspiration and advice from InStyle. But when you’re an application or analyst, trying to mine data for actionable information, the one-off approach simply doesn’t scale. And it’s easy to tell…

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We run free workshops every Thursday and I’d like to give you an example of what we cover. I’m going to use ‘Configuring Streams with CSDL in the API’ as an example, but don’t be put off if you’re a novice. We have workshops that cover the absolute fundamentals of the platform right up to advanced workshops covering complex destinations and filter optimization. The Workshop All workshops are delivered remotely by an experienced DataSift instructor….

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