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: A method, apparatus, system, and computer program product for searching for documents. A query comprising search terms is received. A search is performed on a collection of documents for each search term in the search terms. Search results are received for the search terms. Each search result includes documents from the collection of documents containing a search term in the search terms and scores associated with the documents. Aggregate scores for the search terms in the search results are associated with each document in the documents returned to form combined results in which a combined result in the combined results comprises the document and an aggregate score associated with the document. The documents in the combined results are ranked based on the aggregate scores to form a ranked order for the documents. The combined results with the aggregate scores in the ranked order are displayed on a display system.

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: This specification relates to methods and systems for content management. One of the methods includes: receiving data identifying a user; verifying that the user is an authorized user; receiving initial content from the authorized user; encrypting the initial content using an encryption key to produce encrypted content; forwarding the encrypted content for storage; creating content storage metadata; encrypting the content storage metadata to provide encrypted content storage metadata; and forwarding the encrypted content storage metadata to a blockchain such as a public ledger.

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: This specification describes methods and systems for sentiment analysis. One of the methods includes: receiving a plurality of documents, each document having text data and for each of the documents: (1) representing at least part of the document's text data in a multi-dimensional vector space to produce vectorized text data; (2) applying a neural network to the vectorized text data to calculate a sentiment score, wherein the neural network has been trained using a two step process including (a) training the neural network with a non-domain specific training set; and (b) training the neural network with a domain specific training set; and (3) determining a sentiment score for an entity based at least in part on the sentiment scores for the plurality of documents.

Abstract: A system and method for delivering content in real-time using advanced messaging technology that reduces the risk of content being lost or dropped in transmission. The system and method utilize a custom, simplified XML format to deliver real-time textual, numeric, and metadata content directly to subscribers. The XML tag set specifies all of the information needed to package, process, and distribute real-time content messages and includes an advanced tagging structure that allows granular content customization. Messages are built on the fly using multi-channel data processing techniques. The XML delivery system and method offers an array of real-time market-specific page-based “Alert” services and aggregated newswires with accompanying real-time numeric data feeds. These feeds contain proprietary assessments and other price data across a broad spectrum of global and regional commodity markets, including oil, petrochemicals, metals, electric power, natural gas, coal, and risk.