An embodiment of the invention is provided for use in discovering a specified API service capability. The embodiment includes generating a search statement related to the specified API service capability. The embodiment further includes constructing a data structure, wherein the data structure includes one or more characteristic nodes that are each associated with data describing a particular API characteristic, and the associated data for respective characteristic nodes is ordered in accordance with one or more API service ontologies. The search statement is used to selectively search the data structure. The embodiment determines whether the search finds a match between data included in the search statement, and particular ontological data associated with one or more of the characteristic nodes of the data structure.

A search engine optimizer which works independently and in parallel with a browser and search engine supercomputer to gather, analyze, and distill input information interactively. The optimizer reorganizes the input, and providing an optimized version as an output. The optimized version of the input (e.g. output) is sent to the search engine which responds to the end user with search results. The optimizer recognizes each request as a pattern and stores the pattern in an advanced Glyph format. This permits the optimizer to identify a left and ride side check mate combination required to achieve certitude.

An information processing apparatus includes a display, an input unit, and a controller. The input unit is configured to receive an input of a first keyword from a user. The controller is configured to retrieve first character information including the input first keyword from a database configured to store a plurality of character information items converted from a plurality of voice information items by voice recognition processing, extract a second keyword that is included in the first character information acquired by the retrieval and is different from the first keyword, and control the display to display a list of items including first identification information with which the acquired first character information is identified and the second keyword included in the first character information.

Methods, systems, and computer program products are provided for presenting content in accordance with a placement designation. One example method includes identifying terms associated with a campaign, the campaign having an associated content item that is presented to users responsive to requests for content, receiving an indication of a placement designation including targeting criteria for presenting the content item in a search suggestion control along with search suggestions, storing information associated with the campaign, and processing content requests.

The present invention discloses a system comprising a server and a database storing data pertaining to a plurality of electronic documents, wherein the server is configured to: send a list including one or more electronic documents to a client device for presentation to a user, wherein the list enables the user to select one of the one or more electronic documents; upon selection of a given electronic document from the one or more electronic documents, retrieve data pertaining to the given electronic document from the database, wherein the retrieved data indicates entities and their inter-relationships; generate a document knowledge graph representing the entities and their inter-relationships as specific to the given document, wherein the document knowledge graph is user controllable; and send the document knowledge graph to the client device for presentation to the user, generate and provide an interface that includes the generated document knowledge graph, wherein the document knowledge graph enables the user to selectively look into a specific entity or interrelationship.

A chart is displayed without rendering entirely obscured markers. Successive nested pixel maps of a chart of pixels are traversed. Each of the nested pixel maps has fewer data elements than a corresponding next one of the nested pixel maps. Obscurity states of markers of the chart are determined. The obscurity states include an entirely obscured state, an entirely visible state, and a partially visible state. Each of the markers for a particular nested pixel map is associated with a separate pixel for the particular nested pixel map. One or more of the markers associated with the entirely visible state and one or more of the markers associated with the partially visible state are rendered without rendering markers associated with the entirely obscured state.

The present disclosure relates generally to systems and methods for generating and presenting a graphical representation of topic sentiment metrics with respect to an identified entity based on an evaluation of documents collected across one or more communication platforms (e.g., social networking platforms). In particular, systems disclosed herein involve collecting documents having text therein that identify one or more topics associated with an identified entity (e.g., organization, brand, product). The topics may be analyzed with respect to the individual users and/or relative to mentions by other individuals to determine sentiment metrics (e.g., importance, impact) for the corresponding documents and topics. The documents may be tagged with metadata indicating the topics, categories, and sentiment metrics to produce an interactive presentation that enables a user to navigate the topics and sub-topics, as well as easily identify original content from the collection of documents.

Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document, and determining whether one or more pre-determined questions stored in a question-answer cache maintained at the local device matches the query data according to one or more matching criteria. The method further includes obtaining from the question-answer cache, in response to a determination that at least one of the pre-determined questions matches the query data received from the remote device, at least one answer data item, associated with at least one pre-determined question, corresponding to an answer to the question relating to the source content.

An example system may include instructions to control processor(s) to receive text from content of a first web page, determine, based on the content, a first title topic indicator, a first sentiment indicator, and a first text subjectivity indicator, apply the first title topic indicator, the first sentiment indicator, and the first text subjectivity indicator to a credibility machine learning model to generate a first content credibility score and a first content bias score for the text of the first web page, the credibility machine learning model being trained on text from other web pages using known title topic indicators, known sentiment indicators, and known text subjectivity indicators, and known credibility scores and bias scores, generate a first graphical representation for the first content credibility score and the first bias credibility score, and provide the graphical representation to a first digital device.

A method includes receiving input from a client at least partially specifying one or more characteristics, wherein the initial input includes a seed image and a natural language statement describing a desired change to the seed image; predicting one or more attributes of the seed image by operation of a neural network on the seed image; and parsing the natural language statement to identify desired changes to the one or more attributes of the seed image. The method also includes generating an interim target image by changing the one or more attributes of the seed image, according to the parsed natural language statement; selecting a set of images from an image database for output to the client, each of said set of images being determined to at least partially satisfy the one or more changed attributes of the seed image; and displaying the set of images to the client.