32 results about "Social media analytics" patented technology

A social media analytics platform including methods, apparatuses and computer-readable media for providing analytic measurements of online social media content by harvesting and aggregating unstructured qualitative online social media conversations relevant to subject matter of interest in a category from one or more online social media sources, quantifying the aggregated online social media conversations, and providing actionable information based on the quantified aggregated online social media conversations, the actionable information including sentiment expressed among online social media participants concerning subject matter of interest in the category.

A method, apparatus, non-transitory computer readable storage medium, computer system, network, or system, is provided for using location information, 2D and 3D mapping, social media, and user behavior and information to provide alternative a consumer feedback social media analytics platforms for providing analytic measurements data of online consumer feedback for global brand products or services of past, present or future customers, users, and / or target markets, for companies, organizations, government agencies, and the like, by electronically collecting and analyzing, on a networked computer system using a processor, qualitative or quantitative online social media online communications, activity, and online communications and activity relevant to consumer products or services, or promotions thereof, of interest, in order to provide targeted, location based, 2D or 3D mapped, or impressions to generate online location information data or promotions to provide improved or desired customer perception or sentiment regarding a company's products, services or promotions thereof

A method, apparatus, non-transitory computer readable storage medium, computer system, network, or system, is provided for using location information, 2D and 3D mapping, social media, and user behavior and information to provide alternative a consumer feedback social media analytics platforms for providing analytic measurements data of online consumer feedback for global brand products or services of past, present or future customers, users, and / or target markets, for companies, organizations, government agencies, and the like, by electronically collecting and analyzing, on a networked computer system using a processor, qualitative or quantitative online social media online communications, activity, and online communications and activity relevant to consumer products or services, or promotions thereof, of interest, in order to provide targeted, location based, 2D or 3D mapped, or impressions to generate online location information data or promotions to provide improved or desired customer perception or sentiment regarding a company's products, services or promotions thereof.

A system and method for analyzing visual memes includes identifying visual memes associated with at least one topic in a data source. The visual memes propagated over time are tracked to extract information associated with identified visual memes. The information associated with the visual memes is analyzed to determine at least one of generation, propagation, and use of the identified memes.

A technique for provisioning computing environment resources based on social media analysis includes monitoring, using a data processing system, references (e.g., hyperlinks) provided by a first website to detect an anticipated flash crowd for a web-accessible resource (e.g., second website). The technique also includes generating, using the data processing system, a notice to allocate resources associated with the web-accessible resource to service the anticipated flash crowd.

An information processing apparatus (5) is provided including: a lexicon generation module (22) operable to identify strings of characters present in a set of social media posts (50); a network data generation module (24) operable to generate network data in which posts are associated with nodes and link data (53) link nodes corresponding to posts which contain similar sets of strings of characters; and a network analysis module (26) operable to process network data generated by the network data generation module (24) to determine one or more metric values for each of the nodes wherein the metric values are determined based on the patterns of connectivity defined by the link data (53). The generated metric values are then utilized to select one or more posts (55) as posts representative of the set of media posts.

A system, apparatus and method for performing social media analytics for a movie are provided. The present disclosure provides for a social media analytics platform that builds a rich landscape of interests of movie audiences by mining data from social networking or microblogging services, such as Twitter™. The present disclosure provides for associating at least one user with a movie; collecting, for the at least one associated user, at least one of user location data, user interest data, user-cited website data, and user television viewing habits data from a social networking or microblogging service; processing the collected data to generate movie campaign data, the movie campaign data including at least one of movie marketing data, movie advertising data, and movie distribution data; and providing the at least one movie marketing data, movie advertising data, and movie distribution data for display in a user interface.

Systems and methods for utility management using social network data are provided. A social media analysis system filters social media posts of various social media networks to ascertain social media posts relevant to a utility network and determine if a utility network event has occurred based on the social media posts. Additionally, the social media analysis system associates relevant social media posts with locations on the utility network.

Embodiments described herein can be employed in a social media analytics platform to monitor which data has been acquired for entities from online sites at which entities may maintain an account, including social media platforms by continually moderating, coordinating or scheduling requests for data retrieval across the online sites to substantially maximize the data pulled from each site, and the freshness of that data, given any imposed rate limits associated with those online sites without slowing or idling the social media analytics platform. This results in increased efficiencies in time and expense and a simultaneous reduction in the number of errors received from the online sites, as the analytics platform can spread out requests over time and fully utilize parallel update processes in a way that respects the rate limiting while still improving freshness of data given that rate limiting.

A technique for provisioning computing environment resources based on social media analysis includes monitoring, using a data processing system, references (e.g., hyperlinks) provided by a first website to detect an anticipated flash crowd for a web-accessible resource (e.g., second website). The technique also includes generating, using the data processing system, a notice to allocate resources associated with the web-accessible resource to service the anticipated flash crowd.

A contact center is operated, on behalf of an entity, by reference to social media analytics. A user profile, acquired for each of a plurality of social media users, identifies the user and includes at least one of three indications of sentiment derived over time through analysis of social media event activities and / or behavior. The sentiment indications of a profile include user sentiment toward the entity, user sentiment toward one or more competitor(s) of the entity, and / or user sentiment toward a particular product or service offered by the entity or a competitor(s) of the entity. A communication session is established between a communication terminal of a contact center agent and one of the users for whom a user profile is stored. A menu including at least one option for addressing or capitalizing on a change of sentiment reflected in the user's profile is displayed to the agent.

Embodiments described herein provide a social media analytics platform. An entity may be configured with respect to the platform and a number of social media accounts, and other data such as aliases or search terms associated with the entity. Data is collected at certain intervals from the various online sites, including social media sites, using the various disparate and proprietary interfaces and data models provided by the sites and the configurations for the social media accounts associated with an entity. Using this data obtained from these online sites one or more scores can be calculated or update based on the data, where the score(s) may serve to quantify a facet of the entity's social media exposure and may serve to be domain specific to the entity. The scores for each of the indices for an entity can thus serve to quantify facets of an entity's social media exposure.

The present invention relates to a social media question and answer service, and discloses a social media issue processing device and method. The method includes a question analyzing unit which analyzes a question type of an input question through a question pattern dictionary which is stored in advance; a social media analyzing unit which performs issue period recognition for the question, question type based analysis, question based summary creation, and question based reliability calculation; and a report creating unit which creates a summary in accordance with at least one of correlation between the question type and the question based summary, correlation between the issue period and the question type based analysis result, and correlation between the reliability and the question based summary.

A method and system are disclosed for providing near-real-time competitive insights associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of social network advocacy (SNA) data in near-real-time. The resulting first and second sets of SNA data are then processed to generate a first and second set of competitive insight data, which respectively indicate a near-real-time measurement of sentiment and advocacy related to various aspects of a first and second product. The first and second sets of social pricing index data are then processed to generate a set of competitive insight differential data, which indicates a corresponding improvement or decline in sentiment or advocacy related to various aspects of the first and second products.

Described herein are systems and methods for analyzing social media data for assets and related sub-assets, and simultaneously displaying the analysis for assets, sub-assets, and contributing social media content items to give the user insight into the analysis. The analysis may be based on user selection of a time frame, and may also include a historical timeline that plots different lines for different assets. The user may select one of the assets and cause related sub-assets and social media content items to be simultaneously displayed.

Disclosed are an apparatus, a system, and a method for detecting complex issues based on social media analysis according to the present invention. A system for detecting complex issues based on social media analysis according to the present invention includes: a unit issue detecting unit configured to receive a keyword from a user terminal, and to detect per-type unit issues associated with the received keyword; a complex issue detecting unit configured to detect per-type complex issues from the detected per-type unit issues; a complex issue ranking unit configured to analyze the detected per-type complex issues, and to rank the per-type complex issues based on the analysis result; and a complex issue configuring unit configured to configure the ranked per-type complex issues in a predetermined form that enable users to induce a micro trend, and to provide the configured form to a user.

A method and system are disclosed for providing a near-real-time measurement of sentiment and advocacy associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of social network advocacy (SNA) data in near-real-time. The resulting first and second sets of SNA data are then processed to generate a first and second set of SNA Pulse (SNAP) metric data, which respectively indicate a near-real-time measurement of sentiment and advocacy for a given aspect of an organization. The first and second sets of SNAP metric data are then processed to generate a set of SNAP metrics differential data, which indicates a corresponding improvement or decline in sentiment or advocacy.

A system and method for analyzing visual memes includes identifying visual memes associated with at least one topic in a data source. The visual memes propagated over time are tracked to extract information associated with identified visual memes. The information associated with the visual memes is analyzed to determine at least one of generation, propagation, and use of the identified memes.

A contact center is operated by reference to response time statistics and social media analytics. A method for identifying a user population's sensitivity to response time delay comprises monitoring social network messaging activity to identify user messages associated with the user population. In some embodiments, the activity relates to at least one of an entity or a product or service associated with the entity. The user population may be selected on the basis of a socio-demographic characteristic or on the basis of observable social networking behavior and / or sentiment over a prior selection phase. The method further includes selecting a loyalty transition boundary identified by detecting a difference in aggregate sentiment between a first group of users receiving a response delayed by a first time period and a second group of users receiving a response delayed by a second time period greater than the first time period.

A method and system are disclosed for providing a near-real-time measurement of sentiment and advocacy associated with user interactions within a social media environment. A first and second set of social media data, respectively associated with a first and second set of social media interactions, are processed to generate a first and second set of social network advocacy (SNA) data in near-real-time. The resulting first and second sets of SNA data are then processed to generate a first and second set of SNA Pulse (SNAP) metric data, which respectively indicate a near-real-time measurement of sentiment and advocacy for a given aspect of an organization. The first and second sets of SNAP metric data are then processed to generate a set of SNAP metrics differential data, which indicates a corresponding improvement or decline in sentiment or advocacy.

System and means generates synthetic forms of social media data such as data from microblogging services (e.g., Twitter) and social networking services (e.g., Facebook). This system and means jointly generate interaction graph structures and text features similar to input social media data. First, an interaction graph is generated by mapping social network interactions in input (real) social media data to graph structures. This interaction graph is fitted to a social network model (or a composite model) by minimizing the distance between the input and the synthetic interaction graphs (of potentially different sizes). The distance is measured statistically or based on the performance of social media analytics. Various patterns (such as anomalies), interaction types and temporal dynamics are generated synthetically. Second, text features are extracted from input social media data with topic modeling and statistical analysis of word tuple distributions. Based on these features, synthetic social media text is generated. Third, synthetic graph structures and text features are combined to generate the synthetic social media data. The system is particularly useful in generating data to be used for developing and testing new social media analytics or for generating or analyzing social bot network behavior and campaigns in social media, and for sharing test data with others without rate and privacy concerns.

Embodiments described herein provide a social media analytics platform. An entity may be configured with respect to the platform and a number of social media accounts, and other data such as aliases or search terms associated with the entity. Data is collected at certain intervals from the various online sites, including social media sites, using the various disparate and proprietary interfaces and data models provided by the sites and the configurations for the social media accounts associated with an entity. Using this data obtained from these online sites one or more scores can be calculated or update based on the data, where the score(s) may serve to quantify a facet of the entity's social media exposure and may serve to be domain specific to the entity. The scores for each of the indices for an entity can thus serve to quantify facets of an entity's social media exposure.

A computer implemented method comprising: storing a set of social media objects, each social media object comprising at least one word. The method comprises identifying a subset of relevant social media objects from the set of social media objects by: storing at least one content article, extracting at least one keyword from at least one content article, ranking each extracted keyword with an importance value, searching each of the social media objects for each extracted keyword with an importance value that is higher than a predetermined value, and adding each social media object which comprises an extracted keyword with an importance value that is higher than the predetermined value to a subset of relevant social media objects. The method further comprises outputting the subset of relevant social media objects to a user.

Abstract A method for integrating social media analytics, which describe interactions with grouped media content across multiple social media services, with a content creation tool used for creating or modifying the grouped media content, the method comprising providing, by a processing device, an analytics interface for the content creation tool; performing, by the processing device and based oninput received via the analytics interface, operations comprising selecting a first media content item and a second media content item, wherein a portion of the first media content item has the same content as a portion of the second media content item, modifying the first media content item to comply with first formatting constraints of a first social media service and the second media content item to comply with second formatting constraints of a second social media service, updating a mapping to associate the first media content item and the second media content item with a group, and publishing the first media content item to the first social media service and the second media content item to the second social media service; matching, by the processing device and based on the mapping,the group with (i) first analytics for the first media content item received from the first social media service and (ii) second analytics for the second media content item received from the second social media service; and providing an updated version of the analytics interface having visual representations of grouped analytics for the group, wherein the grouped analytics are generated based on matching the group with the first analytics and the second analytics.

There is disclosed a content delivery computer system arranged to recommend content items to a user of the system having at least one predetermined characteristic, the content delivery system comprising: a social media analyser configured to receive and analyse social media communications from multiple consumers; a grouping component for grouping at least some of the consumers according to the analysed social media communications into respective groups; and a recommendation module configured to receive the at least one predetermined characteristic of the user, compare it with group characteristics of the respective groups to identify a group that shares the at least one predetermined characteristic, and generate a recommendation comprising one of more selected content items for the user based on the identified group of consumers; and an interface for delivering the recommendation to the user.

Embodiments of the present invention provide systems and methods for finding individuals within a field. In one embodiment, a configured query is utilized in order to identify a set of appropriate individuals within a field. Information associated with a skill level and a relationship of a requester is found across a set of disparate media outlets. The system assigns a level of skill set and level of relationship of any identified individual to the requester. A ranking of the identified individuals is generated based on the skill set and relationship of any identified individual based on the configured query.

The described systems, devices, and methods include determining a goal for a collaborative media collection, automatically generating a plurality of tasks specifying capture of media associated with the goal, storing the tasks, and providing the tasks to a plurality of users. The targeting may be automatically determined in response to real-time social media analysis.

Disclosed are an apparatus, a system, and a method for detecting complex issues based on social media analysis according to the present invention. A system for detecting complex issues based on social media analysis according to the present invention includes: a unit issue detecting unit configured to receive a keyword from a user terminal, and to detect per-type unit issues associated with the received keyword; a complex issue detecting unit configured to detect per-type complex issues from the detected per-type unit issues; a complex issue ranking unit configured to analyze the detected per-type complex issues, and to rank the per-type complex issues based on the analysis result; and a complex issue configuring unit configured to configure the ranked per-type complex issues in a predetermined form that enable users to induce a micro trend, and to provide the configured form to a user.

A contact center is operated by reference to response time statistics and social media analytics. A method for identifying a user population's sensitivity to response time delay comprises monitoring social network messaging activity to identify user messages associated with the user population. In some embodiments, the activity relates to at least one of an entity or a product or service associated with the entity. The user population may be selected on the basis of a socio-demographic characteristic or on the basis of observable social networking behavior and / or sentiment over a prior selection phase. The method further includes selecting a loyalty transition boundary identified by detecting a difference in aggregate sentiment between a first group of users receiving a response delayed by a first time period and a second group of users receiving a response delayed by a second time period greater than the first time period.

There is disclosed a content delivery computer system arranged to recommend content items to a user of the system having at least one predetermined characteristic, the content delivery system comprising: a social media analyser configured to receive and analyse social media communications from multiple consumers; a grouping component for grouping at least some of the consumers according to the analysed social media communications into respective groups; and a recommendation module configured to receive the at least one predetermined characteristic of the user, compare it with group characteristics of the respective groups to identify a group that shares the at least one predetermined characteristic, and generate a recommendation comprising one of more selected content items for the user based on the identified group of consumers; and an interface for delivering the recommendation to the user.