Automated Content Creation

NLG to create powerful content

Data becomes content

 

Natural language generation (NLG) is a form of AI content creation that turns structured datasets into usable, readable content that can be published confidently. It’s best used to create short-form content that conveys specific data-driven information. Think of these as content blurbs that are populated automatically with the correct information.

Concepts become words


A content creation machine using natural language generation makes automated decisions to combine data with words. It presents data in human language, choosing from a range of contextual templates. Data is automatically inserted in the right places, so that the concepts it expresses are conveyed in words.

Specific content creation

 

Natural language generation is best suited to specific types of content creation, and a variety of machine learning content can be generated with grammatical precision. NLG trains a content creation machine by feeding it volumes of copy written by humans, creating a statistical content creation model using machine learning technology.

AI content creation

 

The power of the machine learning content that NLG produces is that it presents data in natural language summaries, not graphs or lists, making it easier for people to access the information. AI technology also allows the content creation machine to analyze the data before turning it into content.

Types of machine learning content

Using flexible information definition templates and the latest in machine learning technology, all kinds of content creation becomes possible. An intelligent content creation machine can efficiently generate:

  • Rich content snippets
  • Product/hotel descriptions
  • Metadata creation
  • Fitness data
  • Profit–loss summaries
  • Sports game recaps

Machine learning content benefits

1. Huge productivity improvements

The automation of machine learning content creation exponentially increases the amount of copy you can produce in a given timeframe.

3. Targeted content creation

Machine learning content is a way to create targeted and personalized content for different demographics to meet specific customer needs.

5. Reduced content costs

Using a content creation machine to create repetitive copy reduces the need for human resources, significantly cutting content creation costs.

2. Speedy content creation

By simply providing datasets for the content creation machine, you can automatically generate content at higher speeds than ever before.

4 - Machines adapt automatically

Machine learning content removes the need for human intervention. The AI can make changes in response to data feedback.

6. Powerful analytical feedback

AI content creation uses analytics and machine learning to inform smart content that can adapt to meet your strategic aims.

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From product descriptions to blog articles and everything in between, we help you improve your sales with content.

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Why Key Content?

We’re a best-in-class content agency, focusing on high-volume, high-quality, multilingual e-commerce content.
We use an intelligent, efficient process to produce high-quality machine learning content:

Plan narrative
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Defining your audience and your content publishing goals for the AI content creation process.
Obtain data
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Simply transfer data for your machine learning content as a dataset, thus ensuring accuracy.
Write templates
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Inserting data into dynamically generated words, including formatting and adding synonyms, ensuring accurate AI content creation.
Review narrative
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Machine learning-informed grammar, spelling and variety checking, using analytical scoring to create rich content.
Publish content
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Machine learning content published through an API to your desired platforms, for optimal speed and efficiency.
Fine tune
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Using analytics to adjust content creation in response to user feedback and online metrics.
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