VEDO classification engine

Data categorization for actionable insights.

 

Enrich social data with business context
and domain knowledge

One of the biggest challenges for companies analyzing social data is how to transform messy, unstructured, actionable data. DataSift's VEDO categorization engine allows organizations to understand social interactions at a deeper level by adding the relevant business context.


Classify topics
Classify topics

Apply domain knowledge and tag topics in interactions such as brands or product mentions.

Identify emotion and intent
Identify emotion and intent

Tag keywords and phrases that identify emotion and intent such as intention to buy a product.

Surface hidden meanings
Surface hidden meanings

Explore beyond the content and extract hidden metadata such as classifying types of content being shared.

 
 

Programmable intelligence with
VEDO rules engine


How VEDO categorization engine works

DataSift's rule engine automatically categorizes social data based on rules you provide, enabling customers to increase the relevance of the data, making it more actionable and ready for deeper analysis. By adding hierarchical tagging and scoring to interactions, users can increase the relevance of the data.

 
 

Get started with our library of classifiers

VEDO's programmable intelligence provides three powerful approaches to help extract meaning and context within each post, tweet or comment.


Off the shelf classifier library

Off the shelf classifier library

Get a jump start using our collection of best-practice models out of the box, or as a starting point to identify potential spam, categorize social posts into complaints, compliments or requests for help, or score affinity towards a product or topic. Learn more


Custom taxonomies

Custom taxonomies

Analysts and developers can easily create custom rules to match conversations to a business taxonomy, such as to a product hierarchy or organizational structure, and recieve data classified exactly to the business needs. Learn more


Machine learned classifiers

Machine learned classifiers

Apply machine learning models to learn key signals and train classifiers to isolate, classify and surface deeper meaning and increase accuracy with automated processing of unstructured information. Learn more

 
 

Building better machine learned
classifiers faster with VEDO Intent



Build better machine learned classifiers faster with VEDO Intent

Building on the VEDO rules engine, VEDO Intent uses active learning to build machine learning-based models to fully automate the real-time classification of millions of posts, to surface insights that previously would have been hidden. VEDO Intent helps to reduce the time it takes to manually classify interactions for your training set.

 

Want to learn more about VEDO?

View VEDO resources