10. A method implemented on a machine for effectuating queryline tracking, comprising: constructing an evolving topic model incrementally as a plurality of documents having new data are delivered in a stream; identifying within the plurality of documents delivered in the stream a document that corresponds with a query received from an interface; utilizing the evolving topic model to induce a theme associated with the query in the document; scoring the document relative to previously identified documents with respect to the theme, the scoring further includes employing a word-document co-occurrence graph to score the document relative to the previously identified documents; and disseminating a notification based at least in part on the theme to one or more computing or communications devices.
10. A method implemented on a machine for effectuating queryline tracking, comprising: constructing an evolving topic model incrementally as a plurality of documents having new data are delivered in a stream; identifying within the plurality of documents delivered in the stream a document that corresponds with a query received from an interface; utilizing the evolving topic model to induce a theme associated with the query in the document; scoring the document relative to previously identified documents with respect to the theme, the scoring further includes employing a word-document co-occurrence graph to score the document relative to the previously identified documents; and disseminating a notification based at least in part on the theme to one or more computing or communications devices. 13. The method of claim 10 , further including associating the document with one or more previously induced themes clustered around the query.