US 2026/0030643 A1Published application

Insight analysis

AssigneeDevRev, Inc.

InventorsGaurav Sharma, Ankur Vishwakarma, Gaurav Jhamnani, Mahesh Medam, Saransh Gupta

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Abstract

Techniques for insight analysis are disclosed relating to a computing device designed to interface with a service platform, having an insight analysis framework capable of executing natural language processing (NLP) and is tasked with receiving sentiment queries and determining an attitude marker that encapsulates user sentiment towards the service platform, based on data from user devices both currently and previously engaged with the platform. The insight analysis framework initiates a preliminary analysis using an interaction analysis framework to evaluate text-based interaction history. The attitude marker is then ascertained by integrating the preliminary analysis results with service analytics and user utility analytics data from respective databases. Finally, the computing device generates a transmission signal to convey the attitude marker to a designated end device, incorporating identification information for accurate delivery.

Claims20

Dependent claims

A computing device in operable communication with a device hosting a service platform, the computing device comprising:

a processor;
an insight analysis framework, operably coupled to the processor, being an advanced learning model capable of performing natural language processing (NLP), wherein the insight analysis framework is to:
receive a sentiment query for a service platform to determine an attitude marker associated with the service platform, wherein the attitude marker is to be determined based on insights regarding an attitude response towards the service platform received from a plurality of user devices currently connected or have previously connected with the service platform;
cause conducting of a preliminary analysis in response to receiving the sentiment query, wherein the preliminary analysis is conducted by an interaction analysis framework on an engagement data for the plurality of user devices, wherein the engagement data comprises a text-based interaction history between the service platform and one or more of the plurality of user devices;
determine the attitude marker corresponding to the sentiment query based on a result of the preliminary analysis received from the interaction analysis framework, a service analytics data for one or more of the plurality of user devices obtained from a first database, and a user utility analytics data for one or more of the plurality of user devices obtained from a second database, wherein the service analytics data comprises data derived from service-level interactions with the service platform, and the user utility analytics data comprises usage metrics associated with the service platform;
and
generate a transmission signal to cause transmission of the attitude marker to an end device identified to receive the attitude marker, the transmission signal comprising identification information associated with the end device.

4 more elements

A method for insight analysis, the method comprising:

receiving, at a computing device having an insight analysis framework, a sentiment query for a service platform to determine an attitude marker associated with the service platform, wherein the attitude marker is to be determined based on insights regarding an attitude response towards the service platform received from a plurality of user devices currently connected or have previously connected with the service platform;
causing to conduct a preliminary analysis in response to receiving the sentiment query, wherein the preliminary analysis is conducted by an interaction analysis framework on an engagement data for the plurality of user devices, wherein the engagement data comprises a text-based interaction history between the service platform and one or more of the plurality of user devices;
determining the attitude marker corresponding to the sentiment query based on a result of the preliminary analysis received from the interaction analysis framework, a service analytics data for one or more of the plurality of user devices obtained from a first database, and a user utility analytics data for one or more of the plurality of user devices obtained from a second database, wherein the service analytics data comprises data derived from service-level interactions with the service platform, and the user utility analytics data comprises usage metrics associated with the service platform;
and
generating a transmission signal to cause transmission of the attitude marker to an end device identified to receive the attitude marker, the transmission signal comprising identification information associated with the end device.

2 more elements

A non-transitory computer-readable storage medium storing instructions for insight analysis, the instructions being executable by a processor to:

receive, at a computing device having an insight analysis framework, a sentiment query for a service platform to determine an attitude marker associated with the service platform, wherein the attitude marker is to be determined based on insights regarding an attitude response towards the service platform received from a plurality of user devices currently connected or have previously connected with the service platform;
cause to conduct a preliminary analysis in response to receiving the sentiment query, wherein the preliminary analysis is conducted by an interaction analysis framework on an engagement data for the plurality of user devices, wherein the engagement data comprises a text-based interaction history between the service platform and one or more of the plurality of user devices;
determine the attitude marker corresponding to the sentiment query based on a result of the preliminary analysis received from the interaction analysis framework, a service analytics data for one or more of the plurality of user devices obtained from a first database, and a user utility analytics data for one or more of the plurality of user devices obtained from a second database, wherein the service analytics data comprises data derived from service-level interactions with the service platform, and the user utility analytics data comprises usage metrics associated with the service platform;
and
generate a transmission signal to cause transmission of the attitude marker to an end device identified to receive the attitude marker, the transmission signal comprising identification information associated with the end device.

2 more elements

Dependencies are inferred from the claim text.