WordLift analyzes the content of your article and identifies matching entities organized in 4 categories: Who, What, When and Where.
You can accept the entities suggested to add contextual info to the user, efficiently selecting internal links for your content.
You can create new entities to provide additional context and enrich your vocabulary. WordLift will learn and next time they will be detected.
You can edit all entities to customize your vocabulary around your audience and build new relationships.
WordLift suggests open licence images and media from your own library, saving you the time usually spent searching for visuals.
Locations in your article can quickly be mapped adding the Geomap widget.
Events can be displayed chronologically adding the Timeline widget.
Visualize what relates to what in your article adding the Chord widget.
Recommend relevant articles to your readers adding the Navigator widget.
Suggest additional content related to the topics found in your article, letting readers dive into your archive with the Faceted Search widget.
WordLift automatically identifies topics in your article, using Wikipedia classification system. This allows you to create new entry points for your content based on topics, events, people and places.
WordLift automatically associates schema.org markup to your article, allowing search engines to properly index and display your content and intelligent agents such as Siri and Alexa to access it.
WordLift publishes your content's metadata. Data is yours: you can use it to feed chat boxes such as Facebook Messenger and Telegram, providing live updates on your activity and/or automatic customer service in real time! .