Intelligent Tagging Makes Unstructured Data Usable
March 20, 2020
We are not going to talk about indexing accuracy. Just keep that idea in mind, please.
Unstructured data is a nightmare nobody wants to handle. Within a giant unstructured mess, however, is usable information. How do you get to the golden information? There are multiple digital solutions, software applications, and big data tools that are supposed to get the job done. It raises another question: which tool do you choose? Among these choices is Intelligent Tagging from Refinitiv.
What is “intelligent tagging?”
“Intelligent Tagging uses natural language processing, text analytics and data-mining technologies to derive meaning from vast amounts of unstructured content. It’s the fastest, easiest and most accurate way to tag the people, places, facts and events in your data, and then assign financial topics and themes to increase your content’s value, accessibility and interoperability. Connecting your data consistently with Intelligent Tagging helps you to search smarter, personalize content recommendations and generate alpha.”
Intelligent Tagging can read through gigabytes of different textual information (emails, texts, notes, etc.) using natural language processing. The software structures data by assigning them tags, then forming connections from the content. After the information is organized, the search is empowered to quickly locate the desired information. Content can be organized in a variety of ways such as companies, people, location, topics, and more. Relevancy scores are added to determine how relevant a search indicator is to the search results. Intelligent Tagging also updates itself in real time by paying attention to the news and adding new metadata tags.
It is an optimized search experience and yields more powerful results in less time than similar software.
Intelligent Tagging offers a necessary service, but the only way to see if it promises to bring structure to data piles is to test it out.
Whitney Grace, March 20, 2020
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