Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: A framework for an automated news recommendation system system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for voice and graphical user interfaces. One of the methods includes receiving an audio input, analyzing the audio input to determine a requested task, determining response data in response to the requested task, determining at least a first part of the response data to be presented as an audio output and at least a second part of the response data to be presented as a visual output, forwarding the first part of the response data to an audio output for presentation to a user, forwarding the second part of the response data to a visual output for presentation to a user; and forwarding to at least one of the audio output and the visual output data describing sources and/or assumptions used to construct the response data.

Abstract: A method of forecasting is provided. The method comprises forecasting, with a number of univariate models, a number of company-level metrics for a company over a specified time period according to company-specific historical data. A multivariate model is also used to forecast the company-level metrics over the specified time period according to the company-specific historical data and sector-level historical data related to an industry sector to which the company belongs. The forecasts of the univariate models and the multivariate model are combined into an ensemble model, which then forecasts the company-level metrics over the specified time period.

Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: A framework for an automated news recommendation system system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: Predicting the impact of controversial events on an entity, such as a company, can indicate the entity's ability to operate successfully in the future and optimize long-term value. This specification describes systems and methods to detect controversial events, identify the context of an event, measure the scope of the event, measure its current impact on the entity's performance, and predict the event's future impact on the entity's performance.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for voice and graphical user interfaces. One of the methods includes receiving an audio input, analyzing the audio input to determine a requested task, determining response data in response to the requested task, determining at least a first part of the response data to be presented as an audio output and at least a second part of the response data to be presented as a visual output, forwarding the first part of the response data to an audio output for presentation to a user, forwarding the second part of the response data to a visual output for presentation to a user; and forwarding to at least one of the audio output and the visual output data describing sources and/or assumptions used to construct the response data.

Abstract: Predicting the impact of controversial events on an entity, such as a company, can indicate the entity's ability to operate successfully in the future and optimize long-term value. This specification describes systems and methods to detect controversial events, identify the context of an event, measure the scope of the event, measure its current impact on the entity's performance, and predict the event's future impact on the entity's performance.