Abstract: A system for detecting and cleaning contaminants from an imaging optical path, comprising an imaging device configured to receive a slide and capture a first slide image, at least a computing device configured to determine a contaminant presence indicator associated with a contaminant within an optical path of the imaging device based on the first slide image and execute a contaminant cleaning protocol as a function of the contaminant presence indicator, a contaminant removal mechanism configured to remove the contaminant from the optical path according to the contaminant cleaning protocol, wherein the computing device is further configured to re-evaluate the contaminant presence indicator based on a second slide image of the slide captured using the imaging device and request a user input upon a positive re-evaluation of the contaminant presence indicator.

Abstract: In implementations of systems for digital content analysis, a computing device implements an analysis system to extract a first content component and a second content component from digital content to be analyzed based on content metrics. The analysis system generates first embeddings using a first machine learning model and second embedding using a second machine learning model. The first embeddings and the second embeddings are combined as concatenated embeddings. The analysis system generates an indication of a content metric for display in a user interface using a third machine learning model based on the concatenated embeddings.

Abstract: Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.

Abstract: Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.

Abstract: A system for detecting and cleaning contaminants from an imaging optical path, comprising an imaging device configured to receive a slide and capture a first slide image, at least a computing device configured to determine a contaminant presence indicator associated with a contaminant within an optical path of the imaging device based on the first slide image and execute a contaminant cleaning protocol as a function of the contaminant presence indicator, a contaminant removal mechanism configured to remove the contaminant from the optical path according to the contaminant cleaning protocol, wherein the computing device is further configured to re-evaluate the contaminant presence indicator based on a second slide image of the slide captured using the imaging device and request a user input upon a positive re-evaluation of the contaminant presence indicator.

Abstract: Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.

Abstract: Property tax data may be mined from existing asset databases. These databases commonly do not communicate with other databases since they are developed for specialized purposes. By mining tax sensitive data from the databases, tax management software may develop information for property tax compliance or tax planning purposes. For example, information about property tax exemptions and possible exclusions may be mined from the data together with information about the assets' location which may be important to allocating assets to particular tax jurisdictions.