Natural language data analysis, visualization and editing system

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• wherein displaying to the human user further comprises, the natural language model inferring a preferred presentation format from the natural language request, and displaying to the human user the data visualization in the preferred format inferred by the natural language model.

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• wherein the computer language statement comprises an SQL statement, the metadata is SQL table and column metadata, and natural language descriptions of data structures are a combination of SQL table and column names and additional descriptions that may be available in the business application system.

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• wherein the data structure further comprises a virtual data storage structure that virtually joins data metrics of entities connected to the business analysis system to execute the structured language commands obtained from the natural processing system.

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• preparing alternative data visualizations of the data responsive to the natural language request;
• presenting the alternative data visualizations of the result to the human user;
• exchanging natural language communications with the human user to obtain feedback regarding a selected data visualization from the alternative data visualizations;
• modifying the selected data visualization based on the feedback;
• presenting the modified data visualization to the user.

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• wherein the computer language statement comprises a data mining request, further comprising submitting the data mining request to the business logic application server, and the business logic application server executing the data mining request on the data structure to obtain a data mining result, the data visualization comprising the data mining result;
• exchanging natural language communications with the human user to identifying missing data responsive to the data analysis request;
• conducting additional data mining to obtain the missing data;
• modifying the selected data visualization to include the missing data;
• presenting the modified data visualization including the missing data to the user.

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• wherein the computer language statement comprises a data mining request, further comprising submitting the data mining request to the business logic application server, and the business logic application server executing the data mining request on the data structure to obtain a data mining result, the data visualization comprising the data mining result;
• exchanging natural language communications with the human user to identify updated data responsive to the data analysis request;
• conducting additional data mining to obtain the updated data;
• modifying the selected data visualization to include the updated data;
• presenting the modified data visualization including the updated data to the user.

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• wherein the computer language statement comprises a data mining request, further comprising submitting the data mining request to the business logic application server, and the business logic application server executing the data mining request on the data structure to obtain a data mining result, the data visualization comprising the data mining result;
• conducting iterative prompt-and-response natural language conversations with a human user to identify a multi-parameter data analysis request;
• conducting data mining operations associated with the multi-parameter data analysis command to obtain a data mining result comprising multiple parameters responsive to the multi-parameter data analysis request;
• determining a common range dimension for the multiple parameters;
• aligning the multiple parameters on the common range dimension;
• formatting a visualization of the multiple parameters;
• presenting the visualization of the multiple parameters to the user.

A natural language processing system for performing a method comprising:

• configuring a business logic application server with metadata comprising natural language descriptions of a data structure;
• configuring a natural language model with the metadata and natural language description of metadata elements from the business logic application;
• receiving a natural language request from a human user;
• the natural language model converting the natural language request to a specific computer language statement based on the metadata;
• executing the specific computer language statement on the data structure to obtain a result comprising data responsive to the natural language request;
• displaying to the human user a data visualization of the result;
• exchanging natural language communications with the human user to create a further defined multi-parameter data analysis request;
• presenting a further modified data visualization to the user based on the further defined multi-parameter data analysis request.

A natural language processing system performing a method comprising:

• conducting iterative prompt-and-response natural language conversations with a human user to identify an actionable data analysis command;
• conducting data mining operations associated with the actionable data analysis command to obtain a data mining result;
• determining that the data mining result is missing relevant data;
• identifying potential locations of the missing relevant data;
• prompting the user to request data augmentation to supply the missing relevant data from one or more of the potential locations;
• receiving from the human user an indication of an approved data augmentation task;
• conducting the approved data augmentation task to obtain the missing relevant data;
• presenting a visualization to the user of the data mining result augmented with the missing relevant data.

A natural language processing system comprising a processor performing a method comprising:

• conducting iterative prompt-and-response natural language conversations with a human user to identify a multi-parameter data analysis request;
• conducting data mining operations associated with the multi-parameter data analysis command to obtain a data mining result comprising multiple parameters responsive to the multi-parameter data analysis request;
• determining a common range dimension for the multiple parameters;
• aligning the multiple parameters on the common range dimension;
• formatting a visualization of the multiple parameters;
• presenting the visualization of the multiple parameters to the user.