It auto-classifies new content to match a publisher’s existing content categories. This ensures content automatically gets assigned to the correct category and removes the need for any human decision making and manually searching through hundreds of categories for every newly published article.
Like with the category segmentation and pre-selection process, Nebuli suggests and pre-selects the most relevant tags for the newly published article. If a tag does not exist or it believes additional tags are needed, it generates new tags that are of high relevance to the article. Thus, eliminating the need to manually search for and determine the most suitable keywords.
Above all, the publishers do not need to worry about any additional technical setup or development of additional AI layers for the system to work.
Publishers do not need to worry about any additional technical setup or development of additional AI layers for the system to work. They just need to add their API key to the plugin and they are set. This model has been tested with other similar CMS platforms such as Drupal, Joomla, Magento and custom platforms.