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Validating Interaction Filters with Facebook Super Public Text Samples

DataSift PYLON for Facebook Topic Data allows you to analyze audiences on Facebook whilst protecting users' privacy. To help you build more accurate analysis we're introducing 'Super Public' text samples for Facebook. You can use Super Public text samples to validate your interaction filters to…

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Building Better Machine Learned Classifiers Faster with Active Learning

You might have seen our recent announcement covering many things including the announcement of VEDO Intent. You're probably aware that DataSift VEDO allows you to run machine-learned classifiers. Unfortunately creating a high-quality classifier relies on a good quantity and quality of manually…

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Exploring Keyword Relationships in Social Posts with word2vec

You might have seen our recent announcement covering many things including the launch of our new FORUM data science initiative. We're looking to share more of our experience and research to help innovation in social data analysis. One of the first things we wanted to share is our work exploring the…

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How To Update Filters On-The-Fly And Build Dynamic Social Solutions

It would be easy if the world around us was static, but in practice things are always changing. Nowhere is this truer than in the world of social networks; users are constantly following new friends and expressing new thoughts. The filter you wrote yesterday is probably already out-of-date! On the…

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Facebook Pages Managed Source Enhancements

Taking into account some great customer feedback, on May 1st, 2014 we released a number of minor changes to our Facebook Pages Managed Source. Potential Breaking Changes Facebook Page Like and Comment Counts have been Deprecated The facebook_page.likes_count and facebook_page.comment_count fields…

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