13. A computer-implemented method, comprising: identifying, by a processor, in a document of a plurality of documents, one or more textual sequences; identifying, by the processor, based on the one or more textual sequences, a presence of novel content in the document where the novel content includes content that does not occur in other documents of the plurality of documents; assigning, by the processor, a score to the document based on the identified novel content including each of the one or more textual sequences; and ranking, by the processor, the document among the plurality of documents based on the assigned score.
13. A computer-implemented method, comprising: identifying, by a processor, in a document of a plurality of documents, one or more textual sequences; identifying, by the processor, based on the one or more textual sequences, a presence of novel content in the document where the novel content includes content that does not occur in other documents of the plurality of documents; assigning, by the processor, a score to the document based on the identified novel content including each of the one or more textual sequences; and ranking, by the processor, the document among the plurality of documents based on the assigned score. 20. The computer-implemented method of claim 13 , where identifying the presence of novel content further comprises: identifying a time associated with the document; and estimating an indication of importance of each of the one or more textual sequences in the document to a respective document of the plurality of documents, where the respective document is selected from a subset of the plurality of documents within a particular range of the identified time.