User interface for use with a search engine for searching financial related documents
A method for rendering context based information on a user interface includes receiving a user request to extract the context based information from a database. The database includes a plurality of documents and the request includes at least one search criteria required to determine a context of the user request. The method includes generating a list of documents corresponding to the context of the user request and rendering on a viewing portion of the user interface the list of documents corresponding to the context of the user request.
1. A system for generating a summary from a plurality of financial documents, the system comprising:
a memory storing instructions to be executed by one or more hardware processors; and
one or more hardware processors configured to execute the instructions stored in the memory, wherein the instructions, when executed by the one or more hardware processors, cause the system to:
receive one or more financial documents associated with one or more publicly traded companies for storage in a database, wherein the database comprises a plurality of financial documents;
determine at least one topic associated with the one or more financial documents,
wherein the at least one topic is determined using a machine-learning model;
receive a query from a remote computer to search within the database of financial documents,
wherein the query from the remote computer is based on input from a user at the remote computer, and
wherein the query from the remote computer indicates a topic of interest to the user;
perform a search of the database of financial documents to identify one or more responsive financial documents from the database,
wherein the search identifies the one or more responsive financial documents from the database based on the topic of interest to the user;
identify one or more snippets of text from a first responsive financial document of the one or more responsive financial documents,
wherein the one or more snippets of text are identified when the snippet includes content associated with the topic of interest to the user;
generate a summary based on the one or more responsive financial documents that are identified using the search,
wherein the summary is based on at least one of the one or more identified snippets of text from the first responsive financial document;
cause the summary to be displayed on a user interface of the remote computer,
wherein the summary is displayed with at least one of the one or more identified snippets of text, and
wherein the summary is displayed with an identification of the first responsive financial document; and
display a portion of the first responsive financial document,
wherein the displayed portion of the first responsive financial document includes at least one of the one or more identified snippets of text from the first responsive financial document.
2. The system of claim 1 , wherein the search identifies the one or more responsive financial documents from the database further based on the at least one topic associated with the one or more financial documents determined using the machine-learning model.
3. The system of claim 1 , wherein the summary is displayed along with an identified snippet of text from a second responsive financial document of the one or more responsive financial documents that are identified using the search.
4. The system of claim 1 , wherein the instructions, when executed by the one or more hardware processors, further cause the system to determine at least one topic associated with the query.
5. The system of claim 4 , wherein the at least one topic associated with the query is determined using a neural network.
6. The system of claim 4 , wherein the at least one topic associated with the query is determined using the machine-learning model.
7. The system of claim 1 , wherein the summary comprises a plurality of complete sentences.
8. The system of claim 1 , wherein the query includes a natural-language prompt.
9. The system of claim 1 , wherein the snippets of text are identified using the machine-learning model.
10. The system of claim 9 , wherein the machine-learning model includes a neural network.
11. A method for generating a summary from a plurality of financial documents, the method comprising:
receiving one or more financial documents associated with one or more publicly traded companies for storage in a database, wherein the database comprises a plurality of financial documents;
determining at least one topic associated with the one or more financial documents, wherein the at least one topic is determined using a machine-learning model;
receiving a query from a remote computer to search within the database of financial documents,
wherein the query from the remote computer is based on input from a user at the remote computer, and
wherein the query from the remote computer indicates a topic of interest to the user;
performing a search of the database of financial documents to identify one or more responsive financial documents from the database,
wherein the search identifies the one or more responsive financial documents from the database based on the topic of interest to the user;
identifying one or more snippets of text from a first responsive financial document of the one or more responsive financial documents,
wherein the one or more snippets of text are identified when the snippet includes content associated with the topic of interest to the user;
generating a summary based on the one or more responsive financial documents that are identified using the search,
wherein the summary is based on at least one of the one or more identified snippets of text from the first responsive financial document;
causing the summary to be displayed on a user interface of the remote computer,
wherein the summary is displayed with at least one of the one or more identified snippets of text, and
wherein the summary is displayed with an identification of the first responsive financial document; and
displaying a portion of the first responsive financial document,
wherein the displayed portion of the first responsive financial document includes at least one of the one or more identified snippets of text from the first responsive financial document.
12. The method of claim 11 , wherein the search identifies the one or more responsive financial documents from the database further based on the at least one topic associated with the one or more financial documents determined using the machine-learning model.
13. The method of claim 11 , wherein the summary is displayed along with an identified snippet of text from a second responsive financial document of the one or more responsive financial documents that are identified using the search.
14. The method of claim 11 , further comprising causing the system to determine at least one topic associated with the query.
15. The method of claim 14 , wherein the at least one topic associated with the query is determined using a neural network.
16. The method of claim 14 , wherein the at least one topic associated with the query is determined using the machine-learning model.
17. The method of claim 11 , wherein the summary comprises a plurality of complete sentences.
18. The method of claim 11 , wherein the query includes a natural-language prompt.
19. The method of claim 11 , wherein the snippets of text are identified using the machine-learning model.
20. The method of claim 19 , wherein the machine-learning model includes a neural network.