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 markets for Twitter.
Principles Of Tokenization
This provides new challenges for how we can accurately filter to identify and extract relevant content and conversations. The...
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Announcing LexisNexis - Monitor Reputation, Threats & Opportunities Through Global News Coverage
At DataSift we are chiefly known for our social data coverage, but increasingly you will see us broadening our net. LexisNexis provides news content from more than 20,000 media outlets worldwide, including content from newspapers, consumer magazines, trade journals, key blogs and TV transcripts. As such it provides an unrivalled source for reputation management, opportunity identification and risk management.
The LexisNexis Source
LexisNexis is a long-established, highly...
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Introducing The MySQL Destination - Integrate Data Effortlessly Into Your Enterprise Solution
One key challenge for developer creating a solution is integrating, often many, data sources. DataSift destinations take away this headache, especially the recently released MySQL destination.
The MySQL destination allows you to map and flatten unstructured data to your database schema, avoid writing needless custom integration code and handles realtime delivery challenges such as dropped connections so you don't have to.
Relieving Integration Challenges
The DataSift platform offers many...
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Introducing Wildcards - Making Powerful Filters Even Simpler
At DataSift we pride ourselves on the power and flexibility of our filtering engine. One feature customers have asked for though is the ability to use wildcards in text-based filter conditions. Wildcards are now available on the platform to make writing powerful queries even simpler.
Firstly, it's probably worth clarifying what a wildcard is in this context. The wildcard operator on DataSift allows you to match (when filtering and tagging) against text values where there...
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How To Apply Machine Learning And Give Social Data Meaning
Recently I've covered the tagging and scoring features of DataSift VEDO. My post on scoring gave a top level overview and a simple example, but might have left you hungry for something a little more meaty. In this post I’ll take you through how we’ve started to build linear classifiers internally using machine learning techniques to tackle more complex classification projects. This post will explain what a linear classifier is, how it can help you and give you a method to get...
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