Full fidelity access to the Twitter FirehoseAveraging more than half a billion tweets per day, Twitter is quickly becoming the world’s go-to source for connecting to what’s happening, right now. From culture and trends to politics and real-time news, Twitter is an increasingly integral part of how we talk about these events.
Curate and Contextualize for Meaning
We deliver each Tweet with 140 characters of direct data from Twitter, and add another 75 fields of enriched metadata for additional context, giving you the ability to filter against any number of those fields and classify your data using that information.
Delve deep into Twitter, accessing meaningful information beyond those 140 characters, for example: user profiles, geo-location, and source.
Enhance Twitter relevance with language detection & natural language processing, sentiment trend analysis, social authority scoring and more.
Filter for Noise
Our powerful set of text processing tools help you separate signal from noise, allowing you to filter against all metadata and enrichments.
Data in Context
Add Business Context to your Twitter data
DataSift VEDO is the next generation of the DataSift core processing engine and features Programmable Intelligence: the ability to automatically categorize social data based on its meaning, helping you to transform it into useful data in your application.
Library of VEDO Classifiers
Use the classifiers out of the box or as a starting point enabling you to do things such as identify potential SPAM, leverage machine learning to categorize social posts into complaints, compliments or requests for help, or score affinity towards a product or topic.
Programmable User Rules
Use advanced text-pattern matching and near-word matching to look for mentions of products within social data, then classify conversations based on products being mentioned.
Train and build models based on Bayesian classification, logistic regression and support vector machines.
Time Travel through Twitter’s Historical Data
Collect historical Twitter content to deepen your understanding of current trends by comparing to past performance.
On Demand Access
We offer on-demand access to 3+ years of historical data from the Twitter firehose.
Historical Twitter data can include any of our enrichments providing you with deeper context.
Quickly preview the results of any historics query and get key statistical information before committing to the full raw data delivery.
Understand Your Audience Better With Twitter Demographics
Understand how conversations in key demographic segments impact you by using Twitter Demographics to fill out a detailed profile of the people talking about, interacting with and following your business.
Our demographics include gender, profession, location, occupation, interests, brand affiliation and more.
Demographic enrichments are inferred from a user’s unique blend of historical public conversations and profile information.
The demographic data is tightly integrated into DataSift and is delivered alongside anonymized Twitter data, making it easy to utilize.
Get The Full Picture By Exposing Link Data
Expand your access to relevant results by uncovering and filtering for the hidden keywords in URLs, page titles and content on pages referenced in shortened links.
Reveal Link Context
In the shorthand style that dominates Twitter, brand names and key terms are often omitted from the tweets themselves, but can be found by unwinding shortened URLs
Extract OpenGraph data, Google News keywords, SEO metatags and more, creating context around the links that drive traffic from the social web.
We processes all of this data in real time, giving you the fastest access in the industry to find the data you need.
A key role DataSift plays is to provide the firehose via a direct connection to Twitter. Without this, what would you do? Search for a hashtag? Refresh the column? These methods aren't going to fly anymore.Guy Kawasaki, DataSift Investor and Advisor