Automatic prioritization of natural language text information

A computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive text to be processed to prioritize information included in the text;
• perform one or more prioritization techniques to prioritize the information included in the text,
• the one or more prioritization techniques including at least one of:
• a semantic centrality analysis that indicates an average degree to which a text section, included in the text, is semantically related to a plurality of other text sections included in the text, or
• an information content analysis that indicates a degree to which the text section includes information not included in the plurality of other text sections;
• prioritize the text section and the plurality of other text sections, to form a set of prioritized text sections, based on performing the one or more prioritization techniques;
• and
• provide information that identifies the set of prioritized text sections.

A method, comprising:

• receiving, by a device, text to be processed to prioritize information included in the text;
• performing, by the device, one or more prioritization techniques to prioritize the information included in the text,
• the one or more prioritization techniques including at least one of:
• a semantic centrality analysis based on a degree of semantic relatedness between a set of text sections, included in the text, and a plurality of other sets of text sections included in the text, or
• an information content analysis based on a relative importance of one or more first terms, included in the set of text sections, as compared to one or more second terms included in the plurality of other sets of text sections;
• assigning, by the device, relative priorities to the set of text sections and the plurality of other sets of text sections based on performing the one or more prioritization techniques;
• and
• outputting, by the device, information that identifies the relative priorities assigned to the set of text sections and the plurality of other sets of text sections.