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  • Tools

    Tools

    Platform tools http://dev.datasift.com/tools/client-libraries Client libraries The easiest way to build solutions with the DataSift platform. https://tools.datasift.com/forum/keyword-relationship-explorer/ Keyword…

  • Documentation

    Documentation

    Products To start building your solution, choose the product you are working with. http://dev.datasift.com/docs/products/pylon-fbtd PYLON for Facebook Topic Data Build analytics products that consume Facebook topic data. …

  • Open Source

    Tools / Open Source

    DataSift is built on open source software, from front to back. That's the way we work, because we feel the future lies in open source and we like Wikipedia's description: "a philosophy, or pragmatic methodology that promotes free redistribution and access to an end product's design and…

  • Client Libraries

    Tools / Client Libraries

    The easiest way to build solutions with the DataSift platform is to use our official client libraries. We provide maintained and supported libraries for many popular languages. All of our libraries are open source. If you do find a missing feature or a bug, we are happy for you to raise an issue or…

  • Support

    Documentation / Support

    If you are having trouble using DataSift, here is the recommended plan of action (in order): DataSift Status Consult the documentation first. If you believe you are having problems with the DataSift platform, please refer first to our Status page to view real-time information on the status of each…

  • Products

    Documentation / Products

    To start building your solution, choose the product you are working with. http://dev.datasift.com/docs/products/pylon-fbtd PYLON for Facebook Topic Data Build analytics products that consume Facebook topic data. …

  • Platform

    Documentation / Platform

    These references apply to all DataSift products. http://dev.datasift.com/docs/platform/api API reference Complete reference documentation for DataSift APIs. http://dev.datasift.com/docs/platform/csdl CSDL reference Documentation for…

  • Writing CSDL in Vim

    Blog / Writing CSDL in Vim

    Like any developer-friendly company, DataSift too has fans of the good old Vim editor working for us and with us. And since we spend so much time inside Vim, it is no wonder that we use it to write CSDL too. Which is why today I'm especially happy to announce that CSDL syntax highlighiting has been…

  • Validating Interaction Filters with Facebook Super Public Text Samples

    Blog / 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…

  • Using Topic Graphs to Understand an Audience

    Blog / Using Topic Graphs to Understand an Audience

    The latest release of PYLON for Facebook Topic Data offers two new targets that return data to build network graphs: fb.topic_graph fb.parent.topic_graph A network graph consists of two elements: nodes and edges. In this case the nodes are Facebook topics and each edge is a connection between…

  • Using Managed Sources

    Blog / Using Managed Sources

    I've noticed some questions from clients who are using Managed Sources for the first time. In this blog I'm going to go through the steps to run a DataSift filter on a Managed Source: Create a token Create a Managed Source Create a CSDL filter for that Managed Source Start recording the output of…

  • Using Library Classifiers To Analyse A Product Launch

    Blog / Using Library Classifiers To Analyse A Product Launch

    In a previous post I introduced you to the new DataSift library, a repository of extremely useful classifiers that will help you build great social solutions quickly. In this post using a practical example I'll show just how useful the classifiers are and how they can help you to start tackling a…

  • Using Japanese Tokenization To Generate More Accurate Insight

    Blog / Using Japanese Tokenization To Generate More Accurate Insight

    At the heart of DataSift’s social data platform is a filtering engine that allows companies to target the text, content and conversations that they want to extract for analysis. We are proud to announce that we have expanded our platform to include Japanese, one of the fastest growing international m…

  • Using Facebook Topic Data to Refine an Advertising Campaign

    Blog / Using Facebook Topic Data to Refine an Advertising Campaign

    You might have seen our recent blog post where we discussed how an agency used Facebook topic data to carry out audience research and refine an upcoming ad campaign. In this post we'll take a look at how the research was carried using our platform. Using Facebook topic data to understand an…

  • Studying large audiences with PYLON for Facebook topic data

    Blog / Studying large audiences with PYLON for Facebook topic data

    Release 1.7.1 of PYLON for Facebook Topic Data introduced a number of new features. One key feature is the additional sampling options you now have at your disposal when looking to study large audiences. Analyzing large audiences inside recording limits As a PYLON customer you have a daily…

  • Streams within streams

    Blog / Streams within streams

    The Curated Stream Definition Language (CSDL) in DataSift allows one stream to call another stream. The technique adds some interesting new possibilities. This blog post is a tutorial for beginners. First, let's set up three example streams, keeping them very simple because we're just illustrating…

  • Standard and Poor's Downgrades US Banks

    Blog / Standard and Poor's Downgrades US Banks

    Here's a filter that collects comments and sentiment on Standard and Poor's downgrade of US banks. With DataSift, it's easy to filter out the insignificant content and focus on the things that are being retweeted, the thoughts from key players, and the comments that have strong sentiment. tag…

  • Split-Second Social Media Analysis with DataSift and Redis

    Blog / Split-Second Social Media Analysis with DataSift and Redis

    Social media gives us a way to sample trends and sentiment in real time. Consequently, it is very important that the analysis of the data we are looking at also happens in real time. And we want to help you, because here at DataSift we want our platform to be the Swiss Army knife of the social…

  • Salience 5

    Blog / Salience 5

    DataSift uses an engine called Salience to perform sentiment analysis. We've just upgraded to a new version, Salience 5 and, in this blog, I'll review the existing features and introduce the new ones. Up to now, DataSift's sentiment analysis has offered two numeric values. The first is score that…

  • Regular Expressions

    Blog / Regular Expressions

    Introduction You've probably written streams that use CSDL's native operators such as contains and any. You might not have tried our embedded regular expression (regex) engine yet. If you already know how to write a regex, just read our regular expression page, take a look at the escaping…

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