VEDO - Classifier Library

Add Business Context To Social Data

Learn best practice models using our example classifiers, or build your own.

Off-the-shelf Classifiers

These classifiers can be instantly implemented in your data stream to achieve the defined tagging or scoring and adding great value to your social data.

Spam Detection

Classifies content authors, distinguishing between real users and organisations (such as corporate PR accounts, customer services, etc.) allowing you to filter out corporately generated messages.

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Twitter Application Used

Use this classifier to identify sources of Tweets including automated services, client applications and social networks. With this categorization in place you can easily distinguish between sources and improve your insights.

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Author Profession

For many use cases it is important to identify the profession, role and seniority of users. For instance such distinction is critical when identifying sales leads. This classifier categorizes Twitter users by profession, role and seniority.

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Device Identification

Identifying user devices is a key component to understanding an audience and how they interact with a brand. This classifier identifies properties of devices used to create content. Based on this insight you can more effectively plan marketing campaigns and more precisely target potential leads.

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Job Advert

Job advertisements are common on Twitter; you might consider these as noise distorting your insights. This classifier scores Twitter posts for how likely they are to be a job advertisement, allowing you to improve your analysis.

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Competitor Marketing

Competition marketing is common on Twitter, this noise might impact your insights. This classifier scores Twitter statuses for how likely they are to be related to a competition, allowing you to improve your analysis.

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Content Type

Frequently our users look to focus in on what content is being shared by users. For instance, who is sharing videos relating to a musician, or who's sharing slides relating to a conference? This definition identifies the type of content being shared by users.

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Tumblr Activity Identification

Tumblr is a key data source for analyzing social trends. Activities a user can perform with a piece of content differ from Twitter, particularly focusing on the concept of the 'reblog' action. Use this classifier to categorize user activities on Tumblr and understand engagement.

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Dow 30

Often our customers wish to track conversations relating to an industry, or to themselves and their competitors. This classifier demonstrates how you can identify companies being mentioned in conversation - in this case within the Dow Jones Industrial Average.

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Example Classifiers

These classifiers are examples to show you how to construct solutions either using Machine Learning or standard CSDL scripting.

News

The powerful link enrichment features of our platform allow you to understand how influential content is shared. This classifier identifies content being shared from influential news sites such as WSJ, Techcrunch and BBC, and groups news by high level topic.

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NBA Arenas (Locations)

Identifies Tweets close to major US sports stadiums.

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NFL Stadiums (Locations)

Identifies Tweets close to major US sports stadiums.

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Airports (Locations)

Identifies Tweets close to major international Airports.

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User Interests

Identifies user's profession and interests based on their Twitter profile.

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Topic Extraction

By classifying data to match your business model you can more readily understand and integrate data with your existing tools and systems. This classifier demonstrates how you can identify brands and products mentioned in conversations, and fit social data to match your business taxonomy.

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Tech Analyst Identification

Frequently our customers look to categorize posts based on individuals or organizations who publish the content. This example classifier categorizes content posted on Twitter from top technology market research companies including Gartner, IDC and Forrester.

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Airline Customer Service

Identifies 7 types of post of customer sentiment for airline customer services identification.

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Product Commitment Score

Identifies users at different stages of a product purchase:assess, desire, owner, etc.

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