Identifying and formatting headers for text content

A method, comprising:

• partitioning a data corpus into a plurality of candidate text strings for header classification, the plurality of candidate text strings comprising:
• a first text string including a first plurality of elements, each of the first plurality of elements including a corresponding set of one or more words;
• a second text string including a second plurality of elements, each of the second plurality of elements including a corresponding set of one or more words;
• computing a first group characteristic for the first text string, the first group characteristic comprising a first number of elements in the first plurality of elements;
• disqualifying the first text string for header classification responsive to determining that the first group characteristic does not meet one or more group characteristic criteria that defines a threshold number of elements;
• computing a second group characteristic for the second text string, the second group characteristic comprising a second number of elements in the second plurality of elements;
• determining that the second group characteristic meets the one or more group characteristic criteria;
• responsive to determining that the second group characteristic meets the one or more group characteristic criteria,
• identifying a font characteristic, for the second text string, that meets one or more prevalence criteria;
• evaluating the font characteristic, for the second text string, to determine whether the font characteristic meets at least one of one or more font characteristic criteria;
• responsive at least to determining that the font characteristic meets at least one of the one or more font characteristic criteria, classifying the second text string as a header;
• generating a first tagged content by applying a first header tag to the second text string;
• wherein the method is performed by at least one device including a hardware processor.

A system comprising:

• at least one hardware processor;
• the system being configured to execute operations, using the at least one hardware processor, the operations comprising:
• partitioning a data corpus into a plurality of candidate text strings for header classification, the plurality of candidate text strings comprising:
• a first text string including a first plurality of elements, each of the first plurality of elements including a corresponding set of one or more words;
• a second text string including a second plurality of elements, each of the second plurality of elements including a corresponding set of one or more words;
• computing a first group characteristic for the first text string, the first group characteristic comprising a first number of elements in the first plurality of elements;
• disqualifying the first text string for header classification responsive to determining that the first group characteristic does not meet one or more group characteristic criteria that defines a threshold number of elements;
• computing a second group characteristic for the second text string, the second group characteristic comprising a second number of elements in the second plurality of elements;
• determining that the second group characteristic meets the one or more group characteristic criteria;
• responsive to determining that the second group characteristic meets the one or more group characteristic criteria,
• identifying a font characteristic, for the second text string, that meets one or more prevalence criteria;
• evaluating the font characteristic, for the second text string, to determine whether the font characteristic meets at least one of one or more font characteristic criteria;
• responsive at least to determining that the font characteristic meets at least one of the one or more font characteristic criteria, classifying the second text string as a header;
• generating a first tagged content by applying a first header tag to the second text string.