How Text Classification Delivers
Critical Business Insight
Text Classification Provides Meaning from Unstructured Content
Text classification software provides the data you need to create actionable insights.
Because unstructured content is text-based, it is easily converted using optical character recognition software to perform text analytics. As organizations digitally transform, processing unstructured data is more crucial than ever.
Transform your data pipeline with a single-source text classification software with built-in optical character recognition, sentiment analysis, part-of-speech tagging, named entity tagging, natural language processing, and machine learning.
Build classification models for document recognition and data extraction with easy to use machine learning models.
Trust extracted information with transparent training data displayed in easy to understand confidence thresholds and weightings.
Discover a Powerful Real-World Text Classification Application:
Time was running out for a leading pharmaceutical company. After a recent acquisition, a massive data onboarding project threatened to stall the release of newly acquired products to market.
Newly acquired drugs would be pulled from the market if regulatory commitments weren’t kept, so they needed a rapid classification solution. And manually sifting through the data was not an option.
Time was of the essence because not only would beneficial drugs be unavailable to patients – they risked losing thousands of dollars in revenue – daily….
Text classification, powered by Grooper, to the rescue! After implementing Grooper, they automated a process to find the drugs that required immediate attention for regulatory approval.
Because Grooper ingests all types of data, the process was repeatable and scalable for future acquisitions.
Text Classification with Grooper Helped:
Grooper’s classification is solving problems like this every day. And the best part: you don’t need complicated public domain code like Python to get the results you need.
Grooper’s Text Classification Algorithm
Build and test models and solve real problems without the limitations of other tools like TensorFlow, NumPy, or Watson Natural Language Classifier. Choose Grooper for accurate and dependable document classification.
Grooper uses the term frequency inverse document frequency (TFIDF) machine learning text classification algorithm to quickly classify text and documents. TFIDF works by identifying words (or inputs) that are unique (or more common) in a particular type of document compared to the document set overall.
It’s a deceptively simple way of classifying documents, and it generally does so in a similar way to how humans do it: by looking at the individual words on the document.
Our TFIDF implementation is used for extraction, separation, and classification, and provides an inspection of feature weightings, which helps you directly and completely understand how it’s making decisions.
How Text Classification is Saving Millions
Hundreds of organizations are saving money and time every day by using Grooper’s classification. In another real-world example, discover how one company:
Download our case spotlight to learn more!
“Grooper has saved OSU hundreds of thousands of dollars and the ROI was seen in less than six months after going live. This product has taken data processing, document scanning, and import automation to a whole new level. It’s now in virtually every department including our president’s office.”Erin Girton, Database Administrator/Content Management & Capture Administrator, Oklahoma State University
“All of the information in some file some place is very hard to retrieve. We ought to be able to get it with the click of a button, and now we can. Using the system that Grooper provides to scan the documents and mine the data eliminates many manual processes. My belief is that in the long-term it doesn’t really cost us anything because it’s going to pay us dividends over and over again. I would be surprised if anybody has a system that’s any better than this.”Gary Ridley, former Oklahoma Secretary of Transportation, former Director of Oklahoma Dept of Transportation and former Director of Oklahoma Transportation Authority
“Practically every unit here within our agency uses Grooper on some level. Grooper has cut down on our indexing time by 70 percent.”Ryan Freeman-Smith, Manager, Oklahoma Health Care Authority
“Grooper will give us the access to more contract data than ever before by quickly extracting the data across thousands of lengthy contracts, allowing employees to spend time on value-adding data analysis rather than extraction.”Glena Brauer, Supervisor – Marketing Contracts and Compliance, Chesapeake Energy
“Grooper allows my staff to process ten times more volume than we could with our previous image capture solution; our office thinks Grooper is worth its weight in gold.”Marie Ramsey-Hirst, Court Clerk, Canadian County
Featured Case Studies
Thousands of companies choose BIS to enrich products and services with unique data-centric solutions. Here are some of their stories.