Contextual text interpretation

A system comprising:

• one or more computers configured to perform operations comprising:
• receiving a plurality of electronic documents associated with a domain at a server, wherein each of the plurality of electronic documents includes meta-data and textual content;
• for each electronic document in at least a subset of the plurality of electronic documents:
• identifying one or more text strings in the textual content that are to be processed differently than an identical or similar text string in other electronic documents based on the meta-data associated with the electronic document;
• and
• associating, with the electronic document, data indicating that each of the identified text strings is to be processed differently than an identical or similar text string in other electronic documents;
• and
• performing an analysis of the electronic documents to identify one or more subsets of the electronic documents that include related subject matter,
• wherein a first degree of relatedness of subject matter is associated with identical or similar text strings that do not have associated data indicating that each of the identical or similar text strings is to be processed differently;
• and
• wherein a second degree of relatedness of subject matter, different than the first degree of relatedness, is associated with identical or similar text strings, in which one of the text strings has associated data indicating that the text string is to be processed differently and the other text string does not have data indicating that the text string is to be processed differently.

A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by one or more computers cause the one or more computers to perform operations comprising:

• receiving a plurality of electronic documents associated with a domain at a server, wherein each of the plurality of electronic documents includes meta-data and textual content;
• for each electronic document in at least a subset of the plurality of electronic documents:
• identifying one or more text strings in the textual content that are to be processed differently than an identical or similar text string in other electronic documents based on the meta-data associated with the electronic document;
• and
• associating, with the electronic document, data indicating that each of the identified text strings is to be processed differently than an identical or similar text string in other electronic documents;
• and
• performing an analysis of the electronic documents to identify one or more subsets of the electronic documents that include related subject matter,
• wherein a first degree of relatedness of subject matter is associated with identical or similar text strings that do not have associated data indicating that each of the identical or similar text strings is to be processed differently;
• and
• wherein a second degree of relatedness of subject matter, different than the first degree of relatedness, is associated with identical or similar text strings, in which one of the text strings has associated data indicating that the text string is to be processed differently and the other text string does not have data indicating that the text string is to be processed differently.