Abstract: A system and method for domain aware document classification and information extraction from consumer documents are disclosed. A particular embodiment is configured to: establish, by use of a data processor and a data network, a data connection with at least one applicant platform; receive an upload of documents from the applicant platform via the data network; classify each document as being of a particular document type; determine an information extraction strategy based on a document type classification of a particular document; and extract information from the particular document based on the information extraction strategy.

Abstract: A system and method for domain aware document classification and information extraction from consumer documents are disclosed. A particular embodiment is configured to: establish, by use of a data processor and a data network, a data connection with at least one applicant platform; receive an upload of documents from the applicant platform via the data network; classify each document as being of a particular document type; determine an information extraction strategy based on a document type classification of a particular document; and extract information from the particular document based on the information extraction strategy.

Abstract: A system for selecting a video to be inserted into an article displayed at a web page includes a blackboard. The blackboard stores extracted values for operation thereon by one or more workers. An article extractor creates an article feature as a function of information extracted from the article and inputs the article feature to the blackboard. A threshold extractor determines a threshold factor as a function of the relevance of the video to the article, and inputting the threshold factor to the blackboard. A more like this recommender receives the article feature and outputs to the blackboard, as a function of the article feature, a more like this recommendation as a list of videos to be placed in the article. A more like this decider determines, as a function of the threshold factor and the more like this recommendation, which video to select as a more like this decision.

Abstract: A method finds people within a network of people who are interested in the same topic. Individual user profiles, for people within the network of people based upon concepts featured in documents consumed by said people so that the individual user profiles include user-specific concepts, are provided in a database. A document concerning a topic of interest is selected. A computer system creates a model of the selected document including document-specific concepts featured in the selected document. A computer system compares the document-specific concepts to the user-specific concepts from the individual user profiles. Any matches as a result of the comparing step are determined. If there are any matches, at least one match is reported to a user.

Abstract: A method for a computer system including a memory includes storing statements comprising statements from users in response to a phenomena, selecting a first statement set, and sending the first statement set to a first user to review, receiving a first selection of statements by the first user, selecting a second statement set in response to the first selection of statements and sending the second set of statements to a second user at a second computer, receiving a second selection of statements by the second user, determining a ranked set of statements from the statements in response to the first selection of statements and to the second selection of statements, and sending the ranked-set of statements to a third user at a third computer.

Abstract: A method for a computer system including a memory includes storing a plurality of statements in the memory, selecting a first subset of statements from the plurality of statements, sending the first subset of statements to a first user at a computer client, receiving a first selection of statements, the first selection of statement selected from the first subset of statements by the first user, selecting a second subset of statements from the plurality of statements in response to the first selection of statements by the first user, sending the second subset of statements to a second user at a computer client, receiving a second selection of statements, the second selection of statement selected from the second subset of statements by the second user, determining a proposed selection of statements from the plurality of statements in response to the first selection of statements by the first user and to the second selection of statements by the second user, sending the proposed selection of statements to a thi