21 patents
Utility
Generating training datasets for a supervised learning topic model from outputs of a discovery topic model
31 Oct 23
Systems and methods for generating training data for a supervised topic modeling system from outputs of a topic discovery model are described herein.
Michael McCourt, Anoop Praturu
Filed: 3 Aug 22
Utility
Automatic Classification of Phone Calls Using Representation Learning Based on the Hierarchical Pitman-yor Process
23 Feb 23
Embodiments of the disclosed technology include a representation learning model for classification of natural language text.
Michael McCourt
Filed: 9 Aug 21
Utility
Performance Score Determiner for Binary Signal Classifiers
8 Dec 22
There are disclosed devices, system and methods for determining a performance score for a trained binary signal classifier (classifier) by determining test output predictions for test input data entries that are input into the classifier.
Michael Kingsley McCourt, JR.
Filed: 16 Aug 22
Utility
Detecting extraneous topic information using artificial intelligence models
6 Dec 22
Systems and methods for improving machine learning systems used to model topics on a plurality of calls are described herein.
Michael McCourt, Michael Lawrence
Filed: 18 Aug 20
Utility
Generating Training Datasets for a Supervised Learning Topic Model from Outputs of a Discovery Topic Model
1 Dec 22
Systems and methods for generating training data for a supervised topic modeling system from outputs of a topic discovery model are described herein.
Michael McCourt, Anoop Praturu
Filed: 3 Aug 22
Utility
Call tracking
4 Oct 22
There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.
Garvan Michael Kuskey, Lauren Kimberly Harris, Colin D. Kelley
Filed: 19 Apr 21
Utility
Pitman-Yor process topic modeling pre-seeded by keyword groupings
30 Aug 22
In one embodiment, the disclosed technology involves: digitally generating and storing a machine learning statistical topic model in computer memory, the topic model being programmed to model call transcript data representing words spoken on a call as a function of one or more topics of a set of topics that includes pre-seeded topics and non-pre-seeded topics; programmatically pre-seeding the topic model with a set of keyword groups; programmatically training the topic model using unlabeled training data; conjoining a classifier to the topic model to create a classifier model; programmatically training the classifier model using labeled training data; receiving target call transcript data; programmatically determining at least one of one or more topics of the target call or one or more classifications of the target call; and digitally storing the target call transcript data with additional data indicating the determined topics and/or classifications of the target call.
Michael McCourt, Victor Borda
Filed: 16 Dec 21
Utility
Performance score determiner for binary signal classifiers
23 Aug 22
There are disclosed devices, system and methods for determining a performance score for a trained binary signal classifier (classifier) by determining test output predictions for test input data entries that are input into the classifier.
Michael Kingsley McCourt, Jr.
Filed: 20 Mar 19
Utility
Generating training datasets for a supervised learning topic model from outputs of a discovery topic model
9 Aug 22
Systems and methods for generating training data for a supervised topic modeling system from outputs of a topic discovery model are described herein.
Michael McCourt, Anoop Praturu
Filed: 18 Aug 20
Utility
Signal discovery using artificial intelligence models
7 Sep 21
Systems and methods for improving call topic models are described herein.
Michael McCourt, Sean Storlie, Victor Borda, Michael Lawrence, Anoop Praturu
Filed: 10 Jun 20
Utility
Call Tracking
5 Aug 21
There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.
Garvan Michael Kuskey, Lauren Kimberly Harris, Colin D. Kelley
Filed: 19 Apr 21
Utility
Generating Training Datasets for a Supervised Learning Topel Model from Outputs of a Discovery Topic Model
22 Apr 21
Systems and methods for generating training data for a supervised topic modeling system from outputs of a topic discovery model are described herein.
Michael McCourt, Anoop Praturu
Filed: 18 Aug 20
Utility
Detecting Extraneous Topic Information Using Artificial Intelligence Models
22 Apr 21
Systems and methods for improving machine learning systems used to model topics on a plurality of calls are described herein.
Michael McCourt, Michael Lawrence
Filed: 18 Aug 20
Utility
Signal Discovery Using Artificial Intelligence Models
22 Apr 21
Systems and methods for improving call topic models are described herein.
Michael McCourt, Sean Storlie, Victor Borda, Michael Lawrence, Anoop Praturu
Filed: 10 Jun 20
Utility
Binary signal classifiers that tolerate incorrect training data
20 Jul 20
There are disclosed devices, system and methods for a machine learning binary classifier automatically tolerating training data that is incorrect by determining a correct and an incorrect likelihood ratio that each training data entry has a correctly and an incorrectly labeled output.
Michael Kingsley McCourt, Jr.
Filed: 15 May 19
Utility
Call Tracking
18 Mar 20
There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.
Garvan Michael Kuskey, Lauren Kimberly Harris, Colin D. Kelley
Filed: 18 Nov 19
Utility
Performance Score Determiner for Binary Signal Classifiers
15 Jan 20
There are disclosed devices, system and methods for determining a performance score for a trained binary signal classifier (classifier) by determining test output predictions for test input data entries that are input into the classifier.
Michael Kingsley McCourt, JR.
Filed: 19 Mar 19
Utility
Binary Signal Classifiers That Tolerate Incorrect Training Data
15 Jan 20
There are disclosed devices, system and methods for a machine learning binary classifier automatically tolerating training data that is incorrect by determining a correct and an incorrect likelihood ratio that each training data entry has a correctly and an incorrectly labeled output.
Michael Kingsley McCourt, JR.
Filed: 15 May 19
Utility
Desired Signal Spotting In Noisy, Flawed Environments
1 Jan 20
There are disclosed devices, system and methods for desired signal spotting in noisy, flawed environments by identifying a signal to be spotted, identifying a target confidence level, and then passing a pool of cabined arrays through a comparator to detect the identified signal, wherein the cabined arrays are derived from respective distinct environments.
Sean Michael Storlie, Victor Jara Borda, Michael Kingsley McCourt, JR., Leland W. Kirchhoff, Colin Denison Kelley, Nicholas James Burwell
Filed: 17 Jun 19
Utility
Call tracking
23 Dec 19
There are disclosed systems and methods for facilitating communications between individuals and enterprises and in particular, to methods and systems for tracking and attributing customer and/or customer prospect online and offline communications in association with a marketing campaign.
Garvan Michael Kuskey, Lauren Kimberly Harris, Colin D. Kelley
Filed: 13 Dec 16