Five Things You Didn't Know DataSift Can Do
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There are billions of human interactions on social media every day. How do you tune in to extract value from disparate and unstructured pieces of social data? DataSift was built to solve this very problem. The platform unifies all the types of social, news and blogs data in a single place. And our unique coding language helps you find meaning in the data faster. Learn about: -The basics of the DataSift Platform -What types of data you can access and query on our platform (hint: there are LOTS!) -How you can enrich social data with DataSift in terms of context, sentiment, demographics and links content -Our magic ingredients - CSDL and VEDO that revolutionize social data analysis
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Five Things You Didn't Know DataSift Can Do
- 1. Brad Hubbard Product Manager, Developer Relations DataSift Five Things You Didn’t Know DataSift Can Do #DSwebinar
- 2. HUMAN DATA INTELLIGENCE FILTER TAG • ENRICH STORE Stream products will be covered today To see PYLON (our aggregated, anonymized Facebook topic data), join our next live demo: http://lp.datasift.com/20150701-Live-SE-Demo-Registration DataSift is of Two Minds: Indexed Data & Streaming #DSwebinar VEDO
- 3. 2011 1K 4 Launched • San Francisco • New York • London • Reading, UK Customers across 40 countries 2B Items processed per day (These don’t count toward the 5 things) Global offices: #DSwebinar
- 4. Brave New Data World of all digital data created by consumers emails a day of US adults’ location is known increase in global data by 2020 Thoughts EmotionsLIKES Dislikes Intentions IdeasCurrent Events GEO OccupationAge Topics GenderIdeas Gender Occupation Intentions Age Thoughts GEO Dislikes Age Ideas Thoughts Age Intentions Current Events Current Events Emotions GEO Ideas GEO #DSwebinar
- 5. Sources of Human-Generated Data BLOGS & NEWS INSIDE YOUR BUSINESS SOCIAL NETWORKS #DSwebinar
- 6. The Complexity of Human Data VOLUME VARIET Y VELOCITY Billions of users Noisy Generated in real time per second Post vs blog vs like Terabytes per day Ambiguous Big spikesUnstructured #DSwebinar
- 7. Turn Human Data into Meaning #DSwebinar
- 9. 9 We apply structure to the chaotic world of human data #DSwebinar
- 10. Facebook Tencent Weibo Sina Weibo Google+ YouTube Instagram LexisNexis Wikipedia Wordpress Tumblr Intense Debate Disqus NewsCred Reddit TopixJiveTwitter EDGAR NewsVideoIMDBYammer Unifying data from across the web #DSwebinar
- 11. Filtering Human Data with CSDL #DSwebinar
- 12. Filter: CSDL Data Processing Language
- 13. WRITE ONCE • USE MANY Filters against generic objects or get source-specific #DSwebinar
- 14. Rules can contain millions of tag and filter criteria, no need to limit yourself INFINITE COMPLEXITY #DSwebinar
- 16. Identifies links in social posts and fetches header data Allowing you to filter against link content LINKS AUGMENTATION #DSwebinar
- 17. LANGUAGE DETECTION Write filters on a per-language basis, or limit yourself to only certain languages #DSwebinar
- 18. Location either disclosed by user or listed in profile GENDER DETECTION USING PROFILES AND NAME + LANGUAGE #DSwebinar
- 19. SENTIMENT AND TOPICS Likely positive • Neutral • Likely Negative Topic detection (looking for nouns and disambiguating them) #DSwebinar
- 21. VEDO enables automatic classification of Human Data based on it’s meaning Apply Data Science #DSwebinar
- 22. OFF THE SHELF CLASSIFIERS Enable automatic scoring and classification #DSwebinar
- 23. CUSTOM TAXONOMIES Hierarchal rules to mach your business #DSwebinar
- 24. CUSTOM SCORING SYTEM To expose meaning hidden deep within unstructured, text-rich data #DSwebinar
- 26. CONSUME A JSON STREAM DIRECTLY #DSwebinar
- 27. Send your data to any of these pre-built connectors #DSwebinar
- 28. We handle the infrastructure and send you the data you need #DSwebinar
Hinweis der Redaktion
- First, a little about DataSift
- Human data is a particular challenge: not only is there a lot of it – but it’s complex, highly varied, and comes at you fast. It can also have
- We bring in data from a ton of different places. You’ve probably heard of most of these – and we’d be happy to dig into more detail on any of these later on if you’re curious, or you can find more on our website.
- A Facebook post looks different than a Disqus comment. But you might want to search for your company or product anywhere. Because we’ve already normalized the data, you write simplified filters that make it easy for you. You can write against both generic targets – like “the main body text contains android” or more specific, nuanced targets, such as “the author’s account is at least 90 days old”
- Once we have the data in a standardized format we enrich it with a lot of really useful stuff. Just like the raw content and other information can be filtered on, so can all the enhanced data we add.
- “This is cool! http://bit.ly/AsdFa” Shortened URLs and tracking URLs are incredibly common in social data. What we do is not only traverse these redirects to their final destination, but we also fetch the page header information and metadata and append it to the source object. This means you can filter not only on posts which contain “Android”, but also posts with links which contain “Android” in the title, description, or keywords. We do this at line speeds, across every social post on the planet, as it happens. This is an extremely powerful tool and the value it can provide is considerable. So much of the social landscape is dominated by discussions of a shared link, and without that content, you can miss the entirety.