Tagging and extracting data on the most important keywords and concepts in your unstructured datasets gives you tremendous insight into the relevance of a content source, provides contextual navigation and helps users focus on the information they need to know now – and what they can afford to ignore.
Add Structure to Unstructured Datasets with Tags & Taxonomies
InfoNgen™’s powerful content tagging engine can automatically extract the following information from any source:
Powerful Features & Functionality For Content Tagging
Using natural language processing and machine learning technology, InfoNgen enriches text prior to tagging based on predefined rules for different ontologies, industries and topics with 600,000+ pre-tagged entities and topics. In order to assign relevancy and extract relationships from unstructured data, InfoNgen comes with the following features and functionality:
Why InfoNgen for Content Tagging?
Know Everything You Need to Know. Now.With the sheer amount of data growing in size and complexity every day, InfoNgen gives you the tools you need to quickly find, analyze and share critical information to speed decision-making and stay competitive.
True Domain ExpertiseFor industries like Financial Services, Life Sciences, Manufacturing, Retail and Legal, InfoNgen comes packed with prebuilt taxonomies full of enriched content so you can find what you’re looking for fast.
Go Beyond the Tip of the Data Iceberg80% of data being produced is unstructured, and what you’re used to searching is only the tip of the data iceberg. Going beyond structured data is no problem with InfoNgen, which lets you seamlessly search and tag social media posts, emails, documents and other unstructured content just like structured data.
Uncover Buried SignalsHidden insights, patterns and anomalies – InfoNgen sees what you don’t as it ingests, analyzes and summarizes texts with artificial intelligence and natural language processing technology.
Hear from the customerJulie Bozzell
“InfoNgen at first attracted us with its unique, custom-built taxonomy of sources, subjects, geographies, legal topics and more that assists in removing the noise from our web searches and alerts. They have retained our business through its quality customer service and ongoing, responsive product development. I appreciate that the InfoNgen team makes time for us to ensure that we get the most out of the product that they have to offer."
Chief Research & Knowledge Services Officer, Hogan Lovells
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