Recently, there has been a demand for further improvement of accuracy of analysis. A system is provided that includes an acquisition unit that acquires call data which is a record of a call between a client and a contact center, a sound recognition unit that performs sound recognition on the call data by using a keyword registered in dictionary data, an analysis unit that performs analysis using a keyword included in a result of the sound recognition, and a registration unit that registers in the dictionary data, a keyword included in a product information database among a plurality of the keywords included in the result of the sound recognition, the product information database storing product information about each of a plurality of products.

Described is an opinion aggregation system. The system includes a server having a memory storing user information, a first user computing device and other user computing devices coupled to the server. The server is programmed to receive and store an opinion request from the first user computing device and automatically process the opinion request and generate an opinion request to send to the other user computing devices for display and for entering an opinion. The server may be programmed to deliver the opinion request to the other user computing devices and then receive and store the opinions entered by the other user computing devices. These responses may be delivered to the first user computing device for viewing. The user may either filter the opinions received or filter the opinion request by selection of one or more filters, wherein the server only sends the opinion request to users matching the one or more filters.

Various embodiments of an apparatus, method(s), system(s) and computer program product(s) described herein are directed to a dynamic survey engine the receives survey content and a survey mapping associated with a host user account(s) of a scheduled online webinar. The dynamic survey engine presents at least a portion of the survey content to one or more attendee user accounts. The dynamic survey engine aggregates survey response content received from one or more attendee user accounts. The dynamic survey engine identifies a dynamic survey action based at least in part on a portion of the survey mapping that is related to at least a portion of the aggregated survey response content.

A preliminary software feature is applied in a testing rollout to a discrete subset of customers. Survey data may be collected from those customers through a variety of sources, such as chatbot text, session workflow, historical user data, social media data, email survey data, user profile data, messaging threads, and the like. This survey data is analyzed using machine learning algorithms to derive the meaning of input text as well as to determine the user sentiment expressed therein. The outputs of this analysis are normalized across sources and aggregated at a feature-level to generate overall metrics of customer satisfaction with the feature. A holistic analysis is performed on this customer sentiment data to obtain an aggregate or combined user satisfaction score. This score is applied against a set of guardrails to determine whether to ship the feature to a broader customer base.

An AI-based process monitoring system access a plurality of data sources having different data formats to collect and analyze KPI data and shortlist KPIs that are to be used for determining the impact of automation of an automated process or sub-process. Information regarding an automated process is received and KPIs associated with the process and sub-processes of the process are identified. The identified KPIs are put through an approval process and the approved KPIs are presented to a user for selection. The user-selected KPIs are evaluated based on classification, ranking and sentiments associated therewith. The evaluations are again presented to the user along with a set of questionnaires wherein each of the questions has a dynamically controlled weight associated therewith. Based at least on the weights and user responses, a subset of the evaluated KPIs are shortlisted for use in evaluating the impact of process automation.

A system and method for enabling users to create, view, respond to, query, search and collaborate on questions for the purpose of discovering similarities among themselves and others are provided. The methods can include synthesizing question responses into a question management architecture to facilitate computation and display of similarity for one or more respondents to a question or collection of questions, enabling users to create and share questions, and to optimize searching across a database of questions and associated media and enabling users to manage and interact with volumes of questions across a network of users. The methods can provide fidelity of measurement of user similarity based on question complexity and the user's question response choices; and facilitate the navigation of a database of questions that have been responded to and interacted with by a network of users to gain insight into who is like them.

An aggregation system comprises a server holding the survey results of crops and a management apparatus, wherein the management apparatus acquires, from the server, survey data indicating results of a survey of crops performed in the farm field in a set period, and containing information of at least a date of the survey and survey contents, edits the information of the acquired survey data, and transmits the edited survey data to the server, and wherein the server manages survey data, transmits survey data to the management apparatus, updates, when edited survey data is received from the management apparatus, managed survey data by the edited survey data, and aggregates survey data containing the updated survey data, and indicating results of a survey of crops performed in the farm field in the set period.

A system for aggregating crowd sound from remote viewers for a live event is disclosed, including a user computing device in operable connection with a user network. An application server in operable communication with the user network hosts an application system for providing a system for the aggregation of crowd sound. A user interface module provides access to the application system through the user computing device and is in operable communication with a reactions database and an events database. The reactions database stores user-selectable reactions, and the events database stores live events and virtual events. A reactions interface is operable via the user interface module to permit the selection of the reactions, which are transmitted to a sound aggregation engine to generate an aggregate crowd sound, which is transmitted to the user device.

Systems and methods to provide a question series are disclosed. Exemplary implementations may: receive and store in electronic storage questions, parameters, criteria to the parameters, and events from a user; generate, based on the parameters and the questions, a question series for presentation to individual ones of the consumers; effectuate presentation of a set of the questions of the question series via individual client computing platforms associated with the consumers; obtain responses to the set of the questions from the consumers; obtain indications of the occurrence of the events related to the individual consumers; adjust the ensuing questions for presentation of the question series based on the occurrence of the events and/or the responses; and effectuate presentation of a subsequent set of the questions of the question series via individual client computing platforms of the consumers based on the adjustment to the ensuing questions.

A computer-implemented method includes the operations of receiving marketing campaign data over a network from an originator computing device to establish a marketing campaign, wherein the marketing campaign data identifies one or more keywords and/or key phrases. The operations may further include causing the marketing campaign data to be accessible over a network to a participant computing device and receiving one or more audio file over the network from the participant computing device, wherein each received audio file includes spoken words of the participant recorded by a microphone on the participant computing device. The operations may additionally include determining, for each received audio file, a number of instances that the participant says the identified one or more keywords and/or key phrases in the received audio file, identifying a reward for the participant based on the determined number of instances, and crediting an account of the participant with the identified reward.