BetterUp. has been granted a patent for a technology that analyzes conversations by processing multiple utterance representations linked to video, acoustic, and text data. The method utilizes a machine learning system to generate outputs for each user, enhancing conversation analysis through integrated memory functionality. GlobalData’s report on BetterUp gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on BetterUp, Intelligent contact centers was a key innovation area identified from patents. BetterUp's grant share as of July 2024 was 39%. Grant share is based on the ratio of number of grants to total number of patents.
Conversation analysis using machine learning for utterance representations
The patent US12073851B2 outlines a method and system for generating conversation analysis indicators based on multiple utterance representations from conversations involving at least two users. Each utterance representation captures a specific verbalized statement and is associated with various data types, including video, acoustic, and text data. The method employs a machine learning system that processes these representations to generate outputs corresponding to each data type. This system integrates memory functionality to track the internal state of utterances, allowing for a comprehensive analysis of the conversation dynamics.
Further, the method includes generating combined speaker features from the outputs of multiple utterance representations, which are then utilized to produce conversation analysis indicators. These indicators may encompass emotional scores, engagement metrics, and confidence scores related to emotional labels. The system is designed to store a series of conversation analysis indicators that correspond to different segments of the conversation, thereby providing a detailed overview of the interaction. The processing components of the machine learning system are specified as recurrent and convolutional neural networks, enhancing the capability to analyze complex conversational data effectively.
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