Social data analytics will never be the same again.
Today, we’ve launched VEDO Focus, a game-changing text classification engine that categorizes the entire real-time firehose of social media data into a taxonomy of half a million topics.
Focus uses a corpus of more than one billion facts to categorize every single tweet, post, and blog into an ever-growing hierarchical taxonomy of more than 450,000 topics. It reads and understands natural language, unlocking the meaning within the text and categorizing it to enable developers to build applications that can interpret, understand and analyze social data at scale.
The result is a major shift in the social analytics market: away from keyword-based data analysis to being able to – for the first time – filter and analyze social data streams based on specific topics, concepts or industries. And with DataSift doing all the heavy lifting, our customers can concentrate their efforts on innovation and building insights rather than the infrastructure.
VEDO Focus offers a very similar solution to businesses users – application developers, agencies and analysts. Your very own industry or concept topic timeline and its applications for human-created data are practically limitless.
Create topic-based data streams to simplify market research
Companies are increasingly using social media data for real-time market research. Using Focus, companies can easily curate, collect and categorize the social data about an industry or topic-of-interest to create a topic-based stream of data for analysis. Its hierarchical taxonomy of more than 450,000 items supports extremely fine grain data collection and categorization – enabling research into specialist topics like never before. For example, the technology industry alone contains over 28,000 categories.
Build and measure social marketing success against industry benchmarks
The ability to collect focused data at scale opens up new opportunities for analytics companies to build industry standard benchmarks and data sets. For example, a car manufacturer can create a benchmark data set, which contains the universe of social data for the automotive industry, enabling them to compare the performance of their social marketing campaigns with their industry peers.
Simply separate valuable data from digital litter
The inability to distinguish valuable data from digital litter has plagued the social media analytics market since its inception. For example, common words like gap, shell or ford litter social media, creating challenges for their namesake corporations to separate signal from noise. Using Focus, developers can create topic-centric filters to collect data for analysis. For example, creating a filter to receive data relating to ‘gap’ but only within the context of apparel.
See the big picture that emerges from millions of social interactions
Using Focus, companies can discover the entire universe of key topics and themes that emerge from millions of social posts, tweets and blogs. This enables brands and researchers to see the big picture by unlocking the meaning of every single post and aggregating it to see emerging trends.
We believe that VEDO Focus, alongside other powerful capabilities of DataSift’s Human Data platform, will offer you new avenues for developing brand new social applications and ground-breaking methods of social media analysis.
As Nick Nyhan, CEO, WPP Data Alliance and DataSift’s partner put it:
“DataSift is providing measuring spoons and recipes for those who want to learn how to cook with this data more quickly and accurately.”
Now, it’s time to bake!