Content fragments aligned to content criteria

A system implemented at least in part of hardware of at least one computing device, the system comprising:

• a content retrieval module to:
• identify text terms that correspond to an identified content criteria from a set of input content and extract instances of visual content from a collection of content by searching the collection of content using the text terms;
• and
• extract text strings from the input content that meet a correlation criteria related to an average text representation of the input content;
• a fragment generator module to generate different content fragments by combining instances of the visual content with instances of the text strings;
• and
• a style adaptor module to transform the content fragments by adapting a style attribute of the content fragments by correlating the content criteria to a stylistic preference utilized to adapt the style attribute, including to:
• compare a visual attribute and a textual attribute of a particular content fragment to the content criteria to determine a relative alignment of the visual attribute and the textual attribute to the content criteria;
• determine a visual modification to the visual attribute and a text modification to the textual attribute applicable to increase alignment of the visual attribute and the textual attribute to the content criteria;
• and
• transform visual content of the particular content fragment including to modify the visual attribute of the visual content according to the visual modification, and transform text content of the particular content fragment including to modify a text string of the particular content fragment according to the text modification.

One or more computer-readable storage media storing instructions that are executable to perform operations comprising:

• extracting, by at least one computing device, instances of visual content from a collection of content by searching the collection of content using text terms from a set of input content that correspond to an identified content criteria;
• extracting, by the at least one computing device, text strings from the input content that meet a correlation criteria related to an average text representation of the input content;
• generating, by the at least one computing device, a content fragment by combining an instance of the visual content with an instance of the text strings;
• and
• transforming, by the at least one computing device, the content fragment by adapting a style attribute of the text string instance based on a text stylistic preference for the content criteria, and adapting a style attribute of the visual content instance based on a visual stylistic preference for the content criteria, including:
• comparing a visual attribute and a textual attribute of a particular content fragment to the content criteria to determine a relative alignment of the visual attribute and the textual attribute to the content criteria;
• determining a visual modification to the visual attribute and a text modification to the textual attribute applicable to increase alignment of the visual attribute and the textual attribute to the content criteria;
• and
• transforming visual content of the particular content fragment including to modify the visual attribute of the visual content according to the visual modification, and transform text content of the particular content fragment including to modify a text string of the particular content fragment according to the text modification.