Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings.

Abstract: The present technology discloses methods, systems, and non-transitory computer-readable media for sentiment identification and processing. For instance, a system receive ratings data from a client device (e.g., of a customer). The ratings data includes at least one rating of an organization (e.g., merchant) with respect to a characteristic of the organization. The ratings data is based on at least one survey. The system processes the ratings data using a trained machine learning model to generate an insight associated with the characteristic of the organization based on the ratings data. In some examples, the insight includes a follow-up action to improve the organization with respect to the characteristic. The system summarizes the ratings data and the insight associated with the characteristic of the organization to generate an interactive interface, and provides the interactive interface to a recipient device.

Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via at least one survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. The received ratings can be input into machine learning model(s) to generate insights regarding employees with respect to certain characteristic(s). The ratings and insights can be summarized and presented in an interactive interface.

Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings.

Abstract: The present technology discloses methods, systems, and non-transitory computer-readable media for receiving ratings data, the received ratings data comprising responses to a survey associated with one or more customers of an enterprise and presenting a fixed number of attributes; aggregating the received ratings data; generating a report based on the aggregated ratings data; and generating a navigable interface comprising the generated report, the navigable interface accessible to an authorized user and comprising tabs, each tab interactable to display a respective portion of the generated report.

Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings.

Abstract: Applicants have created systems, methods, and computer readable media for verifying the accuracy of medical treatment in accordance with a treatment plan. The method can include the step of receiving medical treatment data including one or more treatment fields and the step of comparing a sample of a segment of treatment plan data with a sample of a first treatment field. The method can further include the step of comparing the segment with the first treatment field if the compared samples match within a first tolerance and the step of generating output data including the results of the step of comparing the segment with the first treatment field if a match occurs within the first tolerance. Through the inventions described herein, a software-based quality assurance analysis can be performed to quickly and accurately verify a patient's dosage in a variety of medical treatments including intensity-modulated radiation therapy.