Scalable Content Automation Solution

Natural Language Generation (NLG) refers to the automated generation of natural language by a machine. As a subdomain of computational linguistics, the generation of content is a special form of artificial intelligence. Natural language generation is used in many sectors and for many purposes, such as e-commerce, financial services, and pharmacy. It is seen to be most effective to automate repetitive and time-intensive writing tasks like product descriptions, reports or personalized content. Read more: https://en.ax-semantics.com/natural-language-generation-explained/ 

Automated content generation with AX Semantics works with the help from Natural Language Generation (NLG) - a technology that generates high-quality and unique content on the basis of structured data that can't be distinguished from manually written content. Typical uses for text automation are product descriptions, category content, financial or sport reports or content for search engines websites - in a nutshell, all kinds of content that require large quantities and have a similar fundamental structure.

The duration of generating the first content depends on different factors: What kind of content is intended to be generated? Is a data base already available? How complex and diverse should the content be? We recommend an iterative approach - start with a minimal content sample and continue with expanding and improving the project one sentence after another. Many of our users publish a first version of the content after a few days. Regenerating content is included in the license fee, so already published content can be constantly upgraded. A regular content upgrade under SEO aspects with regard to content freshness is highly recommended at all events.

Structured data is data that adheres to a pre-defined data model and is therefore easy to analyze. Structured data conforms to a well designed pattern, for example a table showing connections between the different rows and columns. Common examples of structured data are Excel files or SQL databases. Structured data is an important basis for automated content generation. For product descriptions in e-commerce, for example, these are often available in a shop system, product information system (PIM) or in the shop.

Our software is managed by editors and makes the creation of content based on structured data that is indistinguishable from handwritten content possible. This is called hybrid writing. This means that editors use our tool to automate repetitive writing tasks whose manual creation would require too much effort. As a user, you create logical and content blocks once for all possible "events". The software forms natural language content out og this and out of the information it finds in the data. In this way, evaluations, assessments and conclusions can be made in the text. The configuration of the rules, statements, tonality etc. is completely in the hands of the editors. This ensures a high quality content.