Systems and methods for key phrase characterization of documents
View Patent ↗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.
1. An electronic device comprising:
one or more computer-readable storage media configured to store instructions; and
one or more processors configured to execute the instructions to cause the electronic device to:
obtain a first plurality of documents based at least on a user input referring to an entity, wherein the user input further comprises a user's selection of an area on a stock chart, and wherein the first plurality of documents have publication dates corresponding to a date range that corresponds to the area on the stock chart;
obtain, using the user input, a statistical model stored in a computer-readable storage media and associated with the entity, wherein the statistical model is based on content of a second plurality of documents associated with the entity, wherein the second plurality of documents are different from the first plurality of documents;
obtain, from content of the first plurality of documents, a plurality of segments;
determine a statistical significance of the plurality of segments by applying the statistical model to the content of the first plurality of documents;
provide for display a representative segment from the plurality of segments, the representative segment being determined based at least on the statistical significance;
receive a selection input associated with the representative segment; and
responsive to the selection input, provide for display the contents of one or more documents from the first plurality of documents that comprise the representative segment.
2. The electronic device of claim 1 , wherein the user input identifies the entity, and the obtained statistical model was generated based on the second plurality of documents associated with the entity.
3. The electronic device of claim 1 , wherein the user input identifies a company, and the obtained statistical model was generated based on a third plurality of documents associated with the company or based on a fourth plurality of documents associated with an industry associated with the company.
4. The electronic device of claim 1 , wherein providing the representative segment for display comprises providing for display a phrase that comprises the representative segment.
5. The electronic device of claim 1 , wherein the determination of a statistical significance of the plurality of segments is further based on a comparison of the statistical model and the content of the first plurality of documents.
6. A method performed by one or more processors, the method comprising:
obtaining a first plurality of documents based at least on a user input referring to an entity, wherein the user input further comprises a user's selection of an area on a stock chart, and wherein the first plurality of documents have publication dates corresponding to a date range that corresponds to the area on the stock chart;
obtaining, using the user input, a statistical model stored in a computer-readable storage media and associated with the entity, wherein the statistical model is based on content of a second plurality of documents associated with the entity, wherein the second plurality of documents are different from the first plurality of documents;
obtaining, from content of the first plurality of documents, a plurality of segments;
determining a statistical significance of the plurality of segments by applying the statistical model to the content of the first plurality of documents;
providing for display a representative segment from the plurality of segments, the representative segment being determined based at least on the statistical significance;
receiving a selection input associated with the representative segment; and
responsive to the selection input, providing for display the contents of one or more documents from the first plurality of documents that comprise the representative segment.
7. The method of claim 6 , wherein the user input identifies the entity, and the obtained statistical model was generated based on the second plurality of documents associated with the entity.
8. The method of claim 6 , wherein the user input identifies a company, and the obtained statistical model was generated based on a third plurality of documents associated with the company or based on a fourth plurality of documents associated with an industry associated with the company.
9. The method of claim 6 , wherein providing the representative segment for display comprises providing for display a phrase that comprises the representative segment.
10. A non-transitory computer-readable medium storing a set of instructions that are executable by one or more electronic devices, each having one or more processors, to cause the one or more electronic devices to perform a method, the method comprising:
obtaining a first plurality of documents based at least on a user input referring to an entity, wherein the user input further comprises a user's selection of an area on a stock chart, and wherein the first plurality of documents have publication dates corresponding to a date range that corresponds to the area on the stock chart;
obtaining a statistical model stored in a computer-readable storage media and associated with the entity, wherein the statistical model is based on content of a second plurality of documents associated with the entity, wherein the second plurality of documents are different from the first plurality of documents;
obtaining, from content of the first plurality of documents, a plurality of segments;
determining a statistical significance of the plurality of segments by applying the statistical model to the content of the first plurality of documents;
providing for display a representative segment from the plurality of segments, the representative segment being determined based at least on the statistical significance;
receiving a selection input associated with the representative segment; and
responsive to the selection input, providing for display the contents of one or more documents from the first plurality of documents that comprise the representative segment.
11. The non-transitory computer-readable medium of claim 10 , wherein the user input identifies the entity, and the obtained statistical model was generated based on the second plurality of documents associated with the entity.
12. The non-transitory computer-readable medium of claim 10 , wherein the user input identifies a company, and the obtained statistical model was generated based on a third plurality of documents associated with the company or based on a fourth plurality of documents associated with an industry associated with the company.
13. The non-transitory computer-readable medium of claim 10 , wherein providing the representative segment for display comprises providing for display a phrase that comprises the representative segment.