Abstract:
The disclosed embodiments illustrate methods and systems for summary generation of a real-time conversation. The method includes receiving a real-time conversation from a plurality of computing devices over a communication network. The method further includes determining one or more first features of the real-time conversation between at least a first user and a second user. The method further includes extracting one or more second features from the one or more first features, based on one or more pre-defined criteria. The method further includes generating a summary content of the real-time conversation, based on at least the extracted one or more second features and one or more annotations associated with the determined one or more first features by use of one or more trained classifier. Further, the method includes rendering the generated summary content on a user interface displayed on at least one of the plurality of computing devices.
Abstract:
The disclosed embodiments illustrate methods and systems for summary generation of a real-time conversation. The method includes receiving a real-time conversation from a plurality of computing devices over a communication network. The method further includes determining one or more first features of the real-time conversation between at least a first user and a second user. The method further includes extracting one or more second features from the one or more first features, based on one or more pre-defined criteria. The method further includes generating a summary content of the real-time conversation, based on at least the extracted one or more second features and one or more annotations associated with the determined one or more first features by use of one or more trained classifier. Further, the method includes rendering the generated summary content on a user interface displayed on at least one of the plurality of computing devices.
Abstract:
The disclosed embodiments relates to a crowdsourcing directory system. The crowdsourcing directory system is configured for identifying and comparing one or more of a plurality of crowdsourcing platforms based on a plurality of attributes associated with each of the plurality of crowdsourcing platforms. The crowdsourcing directory system then recommends a set of crowdsourcing platforms from the one or more crowdsourcing platforms based on values of the plurality of attributes. The crowdsourcing directory system also maintains a repository of information pertaining to the plurality of crowdsourcing platforms. In an embodiment, the repository may be updated by implementing software adaptors configured to extract various information pertaining to the plurality of crowdsourcing platforms.
Abstract:
According to embodiments illustrated herein there is provided methods and systems implementable on a computing device for remunerating one or more crowdworkers. The method comprising allotting at least one crowdworker from the one or more crowdworkers with a first lottery ticket from a set of lottery tickets on completion of a task allocated to the at least one crowdworker. One or more lottery tickets from the set of lottery tickets are selected by utilizing one or more techniques. Winnings are remunerated to each of a set of crowdworkers from the one or more crowdworkers associated with the one or more selected lottery tickets.
Abstract:
A method and a system for response evaluation of users from electronic documents are disclosed. In an embodiment, one or more questions and a first response pertaining to each of the one or more questions are extracted from one or more first electronic documents. Further, a second response pertaining to each of the one or more extracted questions and metadata are extracted from one or more second electronic documents. For the second response pertaining to each of the one or more extracted questions, a score is determined based on one or more similarity measures that correspond to a category of each of the one or more extracted questions. Thereafter, the response evaluation is rendered on a user interface displayed on a display screen. The response evaluation comprises at least the determined score for the second response pertaining to each of the one or more extracted questions.
Abstract:
The disclosed embodiments illustrate methods data processing for real-time text analysis. The method includes receiving text content from a plurality of user-computing devices, wherein the text content comprises at least a current text segment and a previous text segment. The method further includes extracting one or more first features from the current text segment, wherein at least a first feature of the one or more first features corresponds to a difference between timestamps associated with each of the current text segment and the previous text segment. The method further includes categorizing the current text segment into a predetermined category of one or more predetermined categories, based on at least the one or more first features, automatically by utilizing a classifier. Further, the method includes predicting a likelihood of evolution of an attribute in the text content, based on the predetermined category associated with the current text segment.
Abstract:
The disclosed embodiments illustrate methods and systems for managing a conversation between a first user and a customer care agent. The method includes extracting one or more features from a first conversation between said first user and said customer care agent. The first conversation corresponds to an ongoing conversation over an electronic communication medium. The method includes determining a score for a feature. The score indicates a deviation of a value of said feature from an average of values of said feature determined from historical conversations involving said first user. The method includes aggregating said score for each of said one or more features of said first conversation. Thereafter, the method includes redirecting said first conversation of said first user to a third user during said first conversation based on said aggregation. The third user manages said first conversation between said first user and said customer care agent.
Abstract:
The disclosed embodiments illustrate methods and systems for identifying one or more target users, of a first content, from a social network. The disclosed method includes generating a graph comprising one or more nodes, representative of one or more users of the social network, and one or more edges connecting the one or more nodes. Thereafter, a first set of nodes is selected from the one or more nodes based on at least a first score and/or a second score. Finally, a third set of nodes is selected from the first set of nodes based on at least a polarity score associated with a second set of nodes, determined based on at least a first weight and a second weight, connected to each node in the first set of nodes, wherein the third set of nodes represents the one or more target users.
Abstract:
According to embodiments illustrated herein there is provided methods and systems implementable on a computing device for remunerating one or more crowdworkers. The method comprising allotting at least one crowdworker from the one or more crowdworkers with a first lottery ticket from a set of lottery tickets on completion of a task allocated to the at least one crowdworker. One or more lottery tickets from the set of lottery tickets are selected by utilizing one or more techniques. Winnings are remunerated to each of a set of crowdworkers from the one or more crowdworkers associated with the one or more selected lottery tickets.
Abstract:
Methods and systems for presenting a task information to a crowdworker. One or more tasks, performed by the crowdworker, are monitored. A historical task information pertaining to the one or more tasks, performed by the crowdworker, is determined based on the monitoring. Further, a predicted task information is determined based on the historical task information. The predicted task information is utilizable by the crowdworker to select one or more future tasks. The predicted task information includes at least one of a count of the one or more future tasks available for the crowdworker, estimated time to attempt the one or more future tasks, or wages associated with the one or more future tasks. At least one of the historical task information or the predicted task information is presented to the crowdworker.