42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information in the field of domestic and international public policy; Business advice and information; Business research; Information in the field of government affairs; Providing information, news, and commentary in the field of politics and public policy; Providing a website featuring public policy information about governmental issues and government business risk issues management; Providing an online searchable database featuring political information on local, national, and international legislation, regulation, and elected officials Providing a website featuring online non-downloadable software that enables users to track, sort, and analyze governmental activity and bills, the status of new and existing legislation and regulations, forecast the outcomes of that legislation; Software as a service (SAAS) services featuring software for gathering, curating, compiling, organizing, presenting, and disseminating information in the fields of public policy; software as a service (SAAS) services featuring software for providing information, contacts, events, news, and commentary in the fields of public policy, legislation, legislators and local governments; software as a service (SAAS) services featuring software for tracking and providing information in the fields of public policy, legislation, legislators and local governments; software as a service (SAAS) services featuring software for providing a searchable database featuring government information; providing a secure electronic online system featuring technology which allows users to obtain contact information for and communicate with elected officials, legislators, political officials and government officials; Providing a website featuring online non-downloadable software tools to facilitate electronic communication with elected officials, legislators, political officials and government officials; Providing a website featuring online non-downloadable software tools for use in personalizing the content of e-mail communications; providing a website featuring non-downloadable software using artificial intelligence to track, sort, and analyze governmental activity and bills, the status of new and existing legislation and regulations, forecast the outcomes of that legislation; software as a service (SAAS) services featuring software using artificial intelligence to track, sort, and analyze governmental activity and bills, the status of new and existing legislation and regulations, forecast the outcomes of that legislation Legal research; Providing information, news, and commentary in the field of law; Providing an online searchable database featuring legal information on local, national and international legislation and regulation; Public policy legal research services; Providing information concerning and comprehensive summaries and status updates of local, national and international legislation and regulation
2.
Method for Determining Candidate Company Related to News and Apparatus for Performing the Method
The present invention relates to a method of determining a candidate company related to news and an apparatus for performing the method. The method of determining a candidate company related to news, comprises determining, by a news ticker mapping apparatus, an entity name for news and determining, by the news ticker mapping apparatus, a candidate ticker on the basis of the entity name.
The present invention relates to a method of determining a company related to news based on scoring and an apparatus for performing the method. A method of determining a company related to news based on scoring, comprises determining, by a news ticker mapping apparatus, a candidate ticker for a sentence and determining, by the news ticker mapping apparatus, a sentence ticker for the sentence on the basis of a candidate ticker score, which is a score for the candidate ticker.
The present invention relates to a method of determining a news ticker related to news based on a sentence ticker and an apparatus for performing the method. The method of determining a news ticker related to news based on a sentence ticker, comprises determining, by a news ticker mapping apparatus, each of a plurality of sentences tickers for each of a plurality of sentences, determining, by the news ticker mapping apparatus, a weight for each of the plurality of sentences tickers and determining, by the news ticker mapping apparatus, the news ticker on the basis of the plurality of sentences tickers and the weight for each of the plurality of sentences tickers.
The present invention relates to a news ticker mapping method and an apparatus for performing the method. a news ticker mapping method comprises receiving, by a news ticker mapping apparatus, a plurality of pieces of news, determining, by the news ticker mapping apparatus, a news ticker for each of the plurality of pieces of news and matching, by the news ticker mapping apparatus, each of the plurality of pieces of news with a company on the basis of the news ticker for each of the plurality of pieces of news.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Analysis of business data; Analyzing and compiling business data; compiling of information into computer databases; Compiling and analyzing statistics, data and other sources of information for business purposes; Compilation and systematization of information in computer databases; Compilation and systematization of information in databanks; Updating and maintenance of data in computer databases; providing business data analytics and business intelligence services; compiling and analysis of business and market data; business information services, namely, data collection and data sampling; database services, namely, gathering and updating of business data and other information for business purposes in computer databases; compilation and systemization, namely, the collation, aggregation, structuring and presentation of data into computer databases; data retrieval services, namely, the collection, aggregation and structuring of business data; data processing services; management and compilation of computerized databases; Services consisting of the registration, collection, transcription, compilation and systemization of written communications and data Computer services, namely, electronic storage of imaging of data insights and analytics; Computer services, namely, electronic digitizing of data insights and analytics; providing online non- downloadable software for data analytics; providing online non- downloadable software platforms for data analytics; providing online non- downloadable software for data analysis, for storing, aggregating, controlling, managing and retrieving data from large data sets, for the collection, identification, retrieving, editing, caching, processing, analysis, organizing, structuring, modifying, indexing, formatting, bookmarking, transmission, storage, management, sharing and access control of data and information; Data automation and collection service using proprietary software to evaluate, analyze and collect service data; Electronic data storage; Software as a service (SAAS) services featuring software for data analytics, data analysis, data aggregation, and data visualization; Software as a service (Saas) services, namely, providing cloud computing software for database management in connection with data warehousing, data aggregation, data management, data mining and data analytics and data file indexing, conversion and integration; Software as a service (Saas) services, namely, providing cloud computing software for gathering, compiling, organizing, analyzing, modeling, graphing, visualizing, and presenting data and other information; providing online non- downloadable software, namely, knowledge-based artificial intelligence platforms, data analytics platforms, and automation platforms for use in database management the field of artificial intelligence
7.
GENERATING ISSUE GRAPHS FOR ANALYZING POLICYMAKER AND ORGANIZATIONAL INTERCONNECTEDNESS
A system for generating and analyzing issue graphs is disclosed. In one embodiment, at least one processor is configured to access first data associated with a plurality of policymakers; generate one or more first nodes representing the plurality of policymakers within an issue graph model; generate a second node within the issue graph model representing an organization; receive, via a user interface, a selection of at least one agenda issue of interest to the organization; receive user data via the user interface; generate links within the issue graph model representing relationships between the first nodes and the second node, the relationships being identified based on the first data, the user data, and the selected agenda issue; determine a gravitas score based on the issue graph model; and cause display of a network representing the issue graph model, the display including a representation of the gravitas score.
A system for generating and analyzing organizational influence data is disclosed. In one embodiment, at least one processor is configured to access first data associated with a plurality of policymakers; generate first nodes representing the plurality of policymakers within an issue graph model; generate a second node representing an organization; receive a selection of an agenda issue of interest to the organization; access second data associated with the organization; generate links within the issue graph model representing relationships between the first nodes and the second node; determine an organizational influence factor comprising a measure of how likely the second node is to affect a property of each of the first nodes; identify at least one node of the first nodes associated with the selected agenda issue based on the organizational influence factor; and output node properties associated with the identified node.
A method for identifying stakeholders relative to an issue is disclosed. In one embodiment, the method may include accessing first data associated with a plurality of individuals associated with an organization; generating first nodes representing the plurality of individuals within an issue graph model; accessing second data associated with one or more policies; generating second nodes representing the one or more policies within the issue graph model based on the second data; receiving an indication of a selected agenda issue; generating links within the issue graph model representing relationships between the first nodes and the second nodes; determining importance scores for the first nodes in the issue graph; identifying a node of the plurality of first nodes associated with the at least one selected agenda issue based on the importance scores; and outputting node properties associated with the identified node.
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Providing information in the field of domestic and international public policy; Business advice and information; Business research; Information in the field of government affairs; Providing information, news, and commentary in the field of politics; Providing a website featuring public policy information about governmental issues Providing a website featuring online non-downloadable software that enables users to track, sort, and analyze governmental activity and bills, the status of new and existing legislation and regulations, forecast the outcomes of that legislation Legal research; Public policy legal research services; Providing information in the field of law; Providing information, news, and commentary in the field of law
11.
Use of machine-learning models in creating messages for advocacy campaigns
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes of sending messages.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
G06F 40/40 - Processing or translation of natural language
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes of sending messages.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
A system creates alerts of issues of importance to an organization. While an organization does not want to miss the opportunity to run an advocacy campaign on an issue of importance, it also does not want to run an unsuccessful campaign that might burden or bore those to whom the campaign is directed. The system maintains a history of previous campaigns as well as success outcomes of those campaigns. A computational model operates on selected previous campaigns and a candidate issue to determine a score indicative of whether a campaign should be run. The score can include a combination of relevancy to criteria for an issue of importance, similarity to issues from previous campaigns, and outcome success data for the selected previous campaigns. If the combined score meets a threshold, the system can present an option to initiate a new advocacy campaign on the candidate issue.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
G06F 3/04847 - Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
14.
Use of machine-learning models in creating messages for advocacy campaigns
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes of sending messages.
G06F 40/40 - Processing or translation of natural language
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
15.
USE OF MACHINE-LEARNING MODELS IN CREATING MESSAGES FOR ADVOCACY CAMPAIGNS
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include or use in creating messages for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes.
An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include or use in creating messages for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes.
G06F 40/40 - Processing or translation of natural language
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Advisory services relating to business management and business operations; Assistance with business management and planning; Benchmarking services being market assessment services for business management purposes; Business organizational consultation; Business management and enterprise organization consultancy; Business process re-engineering services and business management consulting; Business management consulting; Business data analysis; Business modelling services in the nature of business consultation; Business risk management services; Business consultation in the field of data processing; Business consultation for database management; Economic forecasting and analysis; Audit support services, namely, review and analysis of a company's sales, as well as the preparation, organization and presentation of the documents and data requested by a government body, and advice on government audit processes, policies and strategy; Expert evaluations and reports relating to business matters; Human resources consultancy; Business management and business efficiency advice in the field of facilities and resources; Management and operation assistance to commercial businesses; Business management consultancy in the field of business information analysis; Market reports and studies; Preparation of business reports; Provision of information in relation to business management; Providing business management and operational assistance to commercial businesses; Business research consultancy; Business technical data analysis Cloud computing featuring software for evaluating environmental, social and governance risk, for assessing attitudes and behaviors regarding Environmental, Social, and Governance (ESG), for collecting, processing, managing, analyzing, transmitting, sharing and, reporting data regarding Environmental, Social, and Governance (ESG); Computer database design consultancy services; computer program advisory services; Computer programming for data processing and communication systems; Computer programming services for commercial analysis and reporting; computer programming services for data warehousing; Computer software design and updating; Computer services, namely, integration of computer software into multiple systems and networks; Computer software installation and maintenance; Rental of computer software for data processing; Computer software research; Computer systems analysis; Computer systems design; Computer system integration services; Computer technology consultancy; Computer programming services for others in the field of software configuration management; Configuration of computer systems and networks; Consultancy in the field of technological design; Consultancy in relation to the technological research in the field of computer network systems and data processing; Consultancy relating to software maintenance; Consultancy services relating to quality control; Consultancy relating to the updating of software; Customization of computer software; Database design; Data mining; Database design and development; Design and development of computer software for process control; Design and development of computer software for reading, transmitting and organizing data; Design and development of computer software for supply chain management; Design and development of data display systems being integrated computer hardware and computer programs; Design and development of data entry systems being integrated computer hardware and computer programs; Design and development of data output systems being integrated computer hardware and computer programs; Design and development of data processing systems being integrated computer hardware and computer programs; Design and development of data retrieval software; Design and development of data storage systems being integrated computer hardware and computer programs; Design and development of electronic database software; Design and development of energy management software; Design and development of regenerative energy generation systems being integrated computer hardware and computer programs; Design and development of route planning software; Design and development of software for importing and managing data; Design and development of software for database management; Design and development of software for instant messaging; Design and development of integrated computer hardware and computer programs for data input, output, processing, display and storage; Design and development of testing and analysis methods of computer efficiency; Design and development of software in the field of mobile applications; Design and development of software for inventory management; Design of information technology systems; Design, development and implementation of software; Design, maintenance, development and updating of computer software; Development of computer platforms; Development and creation of computer programs for data processing; Development of processes for debugging computer software for others; Development of computer software for logistics, supply chain management and e-business portals; Development of data processing programs by order of third parties; Development of integrated computer hardware and computer programs for energy and power management; Software as a service (SAAS) services, namely, hosting software for use by others for evaluating environmental, social and governance risk, for assessing attitudes and behaviors regarding Environmental, Social, and Governance (ESG), for collecting, processing, managing, analyzing, transmitting, sharing and, reporting data regarding Environmental, Social, and Governance (ESG); Software as a service (SAAS) services featuring software for evaluating environmental, social and governance risk, for assessing attitudes and behaviors regarding Environmental, Social, and Governance (ESG), for collecting, processing, managing, analyzing, transmitting, sharing and, reporting data regarding Environmental, Social, and Governance (ESG); Preparation of technical projects, technical research and consultancy services in the field of carbon offsetting; Scientific research consultancy; Technological research in the field of energy; Technological research in the field of ecology; Research in the area of environmental protection; Research in the field of environmental conservation; Research in the field of environmental protection; Research in the reduction of carbon emissions; Scientific and industrial research in the field of environmental preservation; Computer software consulting services; Software development services; Technical data analysis in the field of computer systems; Technical consultancy in the field of environmental science; Technical advisory services relating to computer programs; Technical research services in the field of computer systems; Updating of computer software; Consultancy relating to computer database programs; Providing scientific information, advice and consultancy relating to carbon offsetting; Programming of energy management software; Quality evaluation of product against bench-mark references; Research, development, design and upgrading of computer software; Technological consultancy in the fields of energy production and use; Data security consultancy relating to data processing; Design and development of computer software for database management
18.
Systems and methods for targeting policymaker communication
A prediction system provided with an integrated communications interface may include at least one processor configured to scrape the Internet to identify a currently pending legislative bill and information about legislators slated to vote on the pending bill. The processor may parse the information to determine a tendency position for each legislator. The processor may transmit for display to a system user a virtual whipboard that groups legislators into a plurality of groups based on determined tendency positions. The processor may receive a selected one of the plurality of groups of legislators for a communication interaction based on the determined tendency position of the group and access a legislator database that includes legislative communication addresses of legislative personnel scraped from the Internet and divided into a plurality of legislative function categories and receive from the system user a selection of at least one of the plurality of legislative function categories.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
A system for predicting and prescribing actions for impacting policymaking outcomes may include at least one processor configured to access first information scraped from the Internet to identify, for a particular pending policy, information about a plurality of policymakers slated to make a determination on the pending policy. The processor may parse the scraped first information to determine an initial prediction relating to an outcome of the pending policy. The processor may access second information to identify an action likely to change at least one of the initial prediction and the propensity of at least one policymaker, to thereby generate a subsequent prediction corresponding to an increase in a likelihood of achieving the desired outcome. The processor may display to the system user a recommendation to take the action in order to increase the likelihood of achieving the desired outcome.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
An Internet-based agenda data analysis system may include at least one processor configured to maintain a list of user-selectable agenda issues, present to a user via a user interface, the list of user-selectable agenda issues, and receive via the user interface, based on a selection from the list, agenda issues of interest to an organization. The processor may be configured to access information scraped from the Internet to determine, for a plurality of policymakers, individual policymaker data from which an alignment position of each policymaker on each of the agenda issues is determinable, calculate alignment position data from the individual policymaker data, the alignment position data corresponding to relative positions of each of the plurality of policymakers on each of the plurality of selected issues, and transform the alignment position data into a graphical display that presents the alignment positions of multiple policymakers.
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
A system for predicting and prescribing actions for impacting policymaking outcomes may include at least one processor configured to access first information scraped from the Internet to identify, for a particular pending policy, information about a plurality of policymakers slated to make a determination on the pending policy. The processor may parse the scraped first information to determine an initial prediction relating to an outcome of the pending policy. The processor may access second information to identify an action likely to change at least one of the initial prediction and the propensity of at least one policymaker, to thereby generate a subsequent prediction corresponding to an increase in a likelihood of achieving the desired outcome. The processor may display to the system user a recommendation to take the action in order to increase the likelihood of achieving the desired outcome.
A prediction system provided with an integrated communications interface may include at least one processor configured to scrape the Internet to identify a currently pending legislative bill and information about legislators slated to vote on the pending bill. The processor may parse the information to determine a tendency position for each legislator. The processor may transmit for display to a system user a virtual whipboard that groups legislators into a plurality of groups based on determined tendency positions. The processor may receive a selected one of the plurality of groups of legislators for a communication interaction based on the determined tendency position of the group and access a legislator database that includes legislative communication addresses of legislative personnel scraped from the Internet and divided into a plurality of legislative function categories and receive from the system user a selection of at least one of the plurality of legislative function categories.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
A text analytics system may predict whether a policy will be adopted. The system may include at least one processor configured to access information scraped from the Internet to identify text data associated with comments expressed by a plurality of individuals about a proposed policy. The at least one processor may be further configured to analyze the text data in order to determine a sentiment of each comment; apply an influence filter to each comment to determine an influence metric associated with each comment; weight each comment using the influence metric; determine based on an aggregate of the weighted comments, an indicator associated with adoption of the policy; and transmit the indicator to a system user.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
A system for predicting and prescribing actions for impacting policymaking outcomes may include at least one processor configured to access first information scraped from the Internet to identify, for a particular pending policy, information about a plurality of policymakers slated to make a determination on the pending policy. The processor may parse the scraped first information to determine an initial prediction relating to an outcome of the pending policy. The processor may access second information to identify an action likely to change at least one of the initial prediction and the propensity of at least one policymaker, to thereby generate a subsequent prediction corresponding to an increase in a likelihood of achieving the desired outcome. The processor may display to the system user a recommendation to take the action in order to increase the likelihood of achieving the desired outcome.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
G06F 17/27 - Automatic analysis, e.g. parsing, orthograph correction
G06F 17/30 - Information retrieval; Database structures therefor
G06T 11/20 - Drawing from basic elements, e.g. lines or circles
25.
Systems and methods for correlating comments and sentiment to policy document sub-sections
A text analytics system may ascertain sentiment about multi-sectioned documents and may associate the sentiment with particular sections. The system may include at least one processor configured to scrape the Internet for text data associated with comments expressed by a plurality of individuals about a common multi-sectioned document. The comments may not be not linked to a particular section. The at least one processor may be further configured to analyze the text data in order to determine a sentiment associated with each comment; apply an association analysis filter to the text data in order to correlate at least a portion of each comment with one or more sections of the multi-sectioned document; and transmit for display to the system user a visualization of the sentiment mapped to one or more sections of the multi-sectioned document.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
A hybrid prediction system may aggregate electronic data to identify and initially predict an outcome of a future event and subsequently update the initial prediction. The system may include at least one processor and a memory. The processor may access data scraped from the Internet. The data may be associated with at least one future event. The processor may further store the scraped data, determine, from the scraped data, an initial prediction of the outcome of the at least one future event, generate, from the scraped data, an initial likelihood indication associated with the initial prediction, and transmit the initial prediction and the initial likelihood indication to a device associated with one or more users. The processor may further receive proprietary information, store the proprietary information, determine, using the scraped data and the proprietary information, a subsequent likelihood indication, and transmit the subsequent likelihood indication to the device.
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
G06F 3/0484 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
