Abstract: Systems and methods are disclosed for key phrase characterization of documents. In accordance with one implementation, a method is provided for key phrase characterization of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments. The method also includes determining statistical significance of the plurality of segments based at least on the statistical model and the content, and providing for display a representative segment from the plurality of segments, the representative segment being determined based at least on the statistical significance.

Abstract: Systems and methods are disclosed for key phrase clustering of documents. In accordance with one implementation, a method is provided for key phrase clustering of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments. The method also includes identifying a plurality of clusters of segments from the plurality of segments, determining statistical significance of the plurality of clusters based at least on the statistical model and the content, and providing for display a representative cluster from the plurality of tokens, the representative cluster being determined based at least on the statistical significance. The method further includes determining a label for the representative cluster based at least on the plurality of clusters and the statistical significance.

Abstract: The system includes interactive user interfaces that allow a user to select attributes, entities, and statistical measures to query the combined data sets. The system allows users to visually construct queries of the database. The system may automatically generate multiple queries and/or query the database multiple times in response to user interface selections. The query parameters and results can be stored and shared with other users.

Abstract: Systems and methods are disclosed for key phrase clustering of documents. In accordance with one implementation, a method is provided for key phrase clustering of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments. The method also includes identifying a plurality of clusters of segments from the plurality of segments, determining statistical significance of the plurality of clusters based at least on the statistical model and the content, and providing for display a representative cluster from the plurality of tokens, the representative cluster being determined based at least on the statistical significance. The method further includes determining a label for the representative cluster based at least on the plurality of clusters and the statistical significance.

Abstract: Systems and methods are disclosed for key phrase characterization of documents. In accordance with one implementation, a method is provided for key phrase characterization of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments.

Abstract: Systems and methods are disclosed for key phrase clustering of documents. In accordance with one implementation, a method is provided for key phrase clustering of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments. The method also includes identifying a plurality of clusters of segments from the plurality of segments, determining statistical significance of the plurality of clusters based at least on the statistical model and the content, and providing for display a representative cluster from the plurality of tokens, the representative cluster being determined based at least on the statistical significance. The method further includes determining a label for the representative cluster based at least on the plurality of clusters and the statistical significance.

Abstract: Systems and methods are disclosed for key phrase characterization of documents. In accordance with one implementation, a method is provided for key phrase characterization of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments. The method also includes determining statistical significance of the plurality of segments based at least on the statistical model and the content, and providing for display a representative segment from the plurality of segments, the representative segment being determined based at least on the statistical significance.

Abstract: Systems and methods are disclosed for key phrase characterization of documents. In accordance with one implementation, a method is provided for key phrase characterization of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments.

Abstract: Systems and methods are disclosed for key phrase characterization of documents. In accordance with one implementation, a method is provided for key phrase characterization of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments. The method also includes determining statistical significance of the plurality of segments based at least on the statistical model and the content, and providing for display a representative segment from the plurality of segments, the representative segment being determined based at least on the statistical significance.

Abstract: Systems and methods are disclosed for key phrase clustering of documents. In accordance with one implementation, a method is provided for key phrase clustering of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments. The method also includes identifying a plurality of clusters of segments from the plurality of segments, determining statistical significance of the plurality of clusters based at least on the statistical model and the content, and providing for display a representative cluster from the plurality of tokens, the representative cluster being determined based at least on the statistical significance. The method further includes determining a label for the representative cluster based at least on the plurality of clusters and the statistical significance.

Abstract: Systems and methods are disclosed for key phrase characterization of documents. In accordance with one implementation, a method is provided for key phrase characterization of documents. The method includes obtaining a first plurality of documents based at least on a user input, obtaining a statistical model based at least on the user input, and obtaining, from content of the first plurality of documents, a plurality of segments.