Abstract: Embodiments of the present disclosure generally relate to a content management system that automatically determines and generates topic clusters from a collection of electronic text documents. For example, the content management system analyzes a collection of electronic text documents to identify key terms and terms related to the key terms. Based on the key terms and related terms, the content management system generates a topic cluster that includes the key term and related terms. The content management system then organizes the electronic text documents based on terms within a given text document matching terms within a given topic cluster. Further, the content management system presents the topic clusters and organized electronic text documents to a user.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems apply machine-learning techniques and computational sentiment analysis to summarize sentences extracted from a group of textual responses or to select representative-textual responses from the group of textual responses. By using a response-extraction-neural network to extract (and sometimes paraphrase) sentences from textual responses, the disclosed methods, non-transitory computer readable media, and systems can generate a response summary of textual responses based on sentiment indicators corresponding to the textual responses. By applying a machine-learning classifier to generate textual quality scores for textual responses, the disclosed methods, non-transitory computer readable media, and systems select representative-textual responses from a group of textual responses based on relevancy parameters and sentiment indicators corresponding to the textual responses.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that generate experience-journey timelines that map touchpoints along a journey to experience data representing experiences of an entity at such touchpoints. Specifically, the disclosed systems can identify touchpoints and experience data indicating experiences of a user, organization, or other entity. Subsequently, the disclosed systems can map experience data to the touchpoints corresponding to the entity. Using such mappings, the disclosed systems can generate experience journey timelines that indicate mappings between particular experience indicators and particular touchpoints. Additionally, the disclosed systems can provide experience-journey timelines for display in graphical user interfaces and facilitate functionalities to explore data underlying the experience indicators at each touchpoint in the experience-journey timelines.

Abstract: This disclosure covers methods, systems, and computer-readable media that identify a topic variance from digital survey responses and provide a variety of functionalities to a digital survey system based on the topic variance (i.e., by modifying a digital survey reporting structure based on the topic variance). In certain embodiments, the disclosed systems analyze one or more sets of digital survey responses to generate one or more response models. Furthermore, the disclosed systems can analyze the one or more response models to identify a topic variance (e.g., an emerging topic, a change in trend for a topic, and/or a change in sentiment for a topic). Upon identifying a topic variance, the disclosed systems modify a digital survey reporting structure and/or generate notifications based on the identified topic variance.

Abstract: This disclosure generally covers systems and methods that provide guidance to create an electronic survey. In some embodiments, the systems and methods identify and provide a suggested survey topic—with a corresponding option to create an electronic survey—based on user input. In some embodiments, the systems and methods identify and provide one or more suggested electronic survey questions based on user input. In such embodiments, the systems and methods provide, for example, components of suggested electronic survey questions, previously composed and benchmarking electronic survey questions, or suggested revisions to electronic survey questions. In addition, the systems and methods can provide entire premade electronic surveys based on receiving user input from a survey administrator.

Abstract: This disclosure covers methods, systems, and computer-readable media that select answer choices from potential answer choices for a digital question based on responses to other digital questions and/or embedded user data. In certain embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on a multiple choice response. Furthermore, in some embodiments, the disclosed systems select answer choices from potential answer choices for a digital question based on keywords and/or sentiment values identified by analyzing a text response. In some embodiments, the disclosed systems select answer choices for a digital question from a dynamic choice reference dataset that comprises potential answer choices. Additionally, in one or more embodiments, the disclosed systems train and/or utilize a machine-learning model to select answer choices from potential answer choices for a digital question based on a response.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that relay domain-event objects within an enhanced multi-platform data stream to listen for and react to digital events indicated by the domain-event objects that occur across a wide variety of computing platforms. Specifically, the disclosed systems can receive domain-event objects within the multi-platform data stream. From among the domain-even objects transmitted through the multi-platform data stream, the disclosed systems can identify a domain-event object that is relevant to a digital-analytics platform by identifying domain-event objects that include properties satisfying domain-event-listener rules. Based on an entity identifier and an object event from the relevant domain-event object, the disclosed systems can perform a platform action within the digital-analytics platform (e.g., to react to a change in another platform as indicated by the domain-event object).

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating conversational survey questions. The systems and methods analyze a received survey question response to identify characteristics of a survey response, including topics and other response features. For example, the systems can determine a sentiment associated with a given product or service that a respondent expresses within a response. Based on the determined sentiment, and further based on a set of logic rules received from a survey administrator, the systems and methods generate provide conversational follow-up questions associated with the identified product or service.

Abstract: The present disclosure relates to a question recommendation system that intelligently optimizes a survey being created by a user by providing customized suggestions. For example, in one or more embodiments, the question recommendation system provides a suggested question based on questions previous added by a user while creating a survey. In particular, the question recommendation system provides various recommendations to the user to further optimize a survey being created. For instance, the question recommendation system provides recommendations with respect to improving question ordering, question phrasing, and question type as well as recommends removing potentially inefficient questions.

Abstract: Embodiments of the present disclosure relate to administration of an electronic survey via third-party content. For example, an electronic survey system receives a request to provide an electronic survey within a survey placeholder of a third-party webpage provided to a client device associated with a respondent. The survey system determines characteristics of the webpage or the respondent. The survey system then selects an electronic survey by comparing the characteristics of available electronic surveys to the characteristics of the webpage or the respondent. Additionally, the survey system provides electronic questions from the selected electronic survey for display within the survey placeholder of the webpage. The survey system also administers the electronic survey within the survey placeholder without redirecting the respondent client device away from the third-party webpage.

Abstract: The present disclosure is directed toward systems and methods for managing a digital survey over voice-capable devices. In particular, the systems and methods described herein create a digital survey question from a verbal input. Additionally, the systems and methods described herein provide the digital survey question to respondents by way of voice-capable devices. The systems and methods also receive verbal survey responses, generate survey results from the verbal responses, and provide the survey results to a survey administrator.

Abstract: Embodiments of the present disclosure relate to administration of an electronic survey to collect perception ratings for an event. For example, an electronic survey system provides a perception survey question to a respondent client device for an event (e.g., a digital media event or a live user experience). As a user associated with the respondent client device experiences the event, the user indicates a perception rating over time for the event by interacting with a graphical input element corresponding to the perception survey question. The survey system collects perception data points indicating the perception rating of the user and associates information about the user with the perception data points. The survey system can generate response data for the perception survey question based on the perception data points. The survey system can also generate a perception data report using the user profile information.

Abstract: Embodiments of the present disclosure relate generally to distributing a survey created for a first distribution channel across multiple distribution channels. More specifically, one or more embodiments of the present disclosure relate to providing a user with the ability to create a survey for one distribution channel and automatically provide the survey across multiple distribution channels. Further, one or more embodiments of the present disclosure improves survey administration by collecting responses to the survey from across the various distribution channels, compiling the responses, and providing the overall results of the survey to the user.

Abstract: Embodiments of the present disclosure relate generally to organizing electronic text documents. In particular, one or more embodiments comprise a content management system that improves the organization of electronic text documents by intelligently and accurately categorizing electronic text documents by topic. The content management system organizes electronic text documents based on one or more topics, without the need for a human reviewer to manually classify each electronic text document, and without the need for training a classification algorithm based on a set of manually classified electronic text documents. Further, the content management system identifies and suggests topics for electronic text documents that relate to new or emerging topics.

Abstract: An interactive media management server that facilitates management of interactive media and delivery of such interactive media. It comprises a first interface to an interactive media distribution server communicatively coupled to a plurality of mobile devices, and a second interface to a service provider system or a content provider system. It comprises a manager module for managing creation, distribution and tracking of a plurality of interactive media. The manager module, via the second interface, manages the delivery of the plurality of interactive media from the service provider system or the content provider system, and the communication of user responses to the plurality of interactive media to the corresponding service provider system or content provider system.

Abstract: The present disclosure is directed toward systems, methods, and computer-readable media for determining an impact of digital content by administering a digital survey. In particular, the systems described herein generate a survey administration packet for distribution together with digital content. The survey administration packet causes a respondent client device to perform various functions, including detecting a trigger event and replacing a presentation of digital content with a presentation of a digital survey question. The systems and methods also generate survey results indicating an impact of the digital content based on received digital survey responses.

Abstract: Embodiments of the present disclosure relate to customizing an electronic survey using social networking information. One or more embodiments of a survey system receive social networking information associated with a respondent from a third-party social networking system in connection with a request to provide a survey to a client device of the respondent. One or more embodiments of the survey system use the social networking information to determine a plurality of survey questions for the electronic survey. Additionally, one or more embodiments of the survey generate a customized electronic survey to include the plurality of survey questions and then provide the customized survey to the respondent's client device.

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems apply machine-learning techniques and computational sentiment analysis to summarize sentences extracted from a group of textual responses or to select representative-textual responses from the group of textual responses. By using a response-extraction-neural network to extract (and sometimes paraphrase) sentences from textual responses, the disclosed methods, non-transitory computer readable media, and systems can generate a response summary of textual responses based on sentiment indicators corresponding to the textual responses. By applying a machine-learning classifier to generate textual quality scores for textual responses, the disclosed methods, non-transitory computer readable media, and systems select representative-textual responses from a group of textual responses based on relevancy parameters and sentiment indicators corresponding to the textual responses.

Abstract: An multistep guided system for mobile devices that facilitates the creation and dissemination of multistep guided activities from a source computer/device to a plurality of other recipient mobile devices, wherein the multistep guided activities is disseminated to the recipient mobile devices in a form that is compatible with the capabilities of the respective recipient mobile devices. The audio guided system comprises the source computer/device, the plurality of other recipient mobile devices and a server.

Abstract: Embodiments of the present disclosure relate to presenting and synchronizing views of electronic document. In particular, a view management system can synchronize and present multiple synchronized views of an electronic document for display on a client device. For example, the view management system can present multiple views of an electronic document and bind one or more of the views with a model. In response to detecting a user interaction with respect to a view, the view management system can cause a client device to apply the user interaction to each of multiple views (e.g., each view that is bound to the model). By synchronizing views, the view management system can enable a user to conveniently observe how one or more user interactions with respect to a view would appear across multiple views of an electronic document.