Your organization, just like many other, probably possesses increasingly big amounts of data. But are you processing it correctly and putting it to good use?
If your organization processes many documents daily, manually classifying them is a time-consuming process, which also creates room for inconsistencies and errors. Are you related with this case? Well, the best solution would no doubt be Automated document classification.
In this 3-part article, we will explore the ins and outs of document classification. We hope this article help explain what document classification is all about. Check It out and stay tuned for part 2…
What is document classification?
Document classification consists of the process of classifying a document to its relevant categories, simplifying its analysis and management.
Automatic document classification is of extreme importance in information systems, such as search engines. They make it easier for users to find the information needed, in a timely manner.
Documents, text, and image classification
Document classification and text and image classification are slightly different things. Different types of documents can contain text, images, or a combination of both. The process for classifying each type is different.
Text classification, as the name suggests, deals specifically with text on documents. It can range from a small piece of text to an entire document. Text classification is more complex since there is less context to work with, while with document classification, the entire document is used as context. To understand text-based content, NLP or Natural Language Processing is used, grouping words and phrases using text classifiers.
Image classification deals exclusively with images instead of whole documents. Using Computer Vision and object recognition, images and other visual documents are categorized, based on visual attributes and behavior.
TML: Texter Machine Learning | Supercharge your content with AI!
Your content and data are the foundation upon which your business operates, and critical decisions are made. Recent advancements in AI in areas such as image and natural language processing have enabled a whole new level of automatic extraction of information and data analysis that power the automation of key business processes not possible until now.
- Process your data with different AI engines, integrating the results.
- Supports several data formats: images, video, text, etc.
- Generate new content and document versions based on AI results
- Store extracted information in metadata, enabling further processing and process automation.
- On cloud or on-premises – in case you don’t want data to leave your private infrastructure
- Compatible with several different ECM providers
- Ability to develop custom AI models to target your specific needs and data
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