Using Natural Language Processing, Sentiment Analysis, and Text Mining to Determine if Text in Selected Acquisition Report Executive Summaries Are Highly Correlated with Major Defense Acquisition Program (MDAP) Unit Costs and Can Be Used as a Variable to Predict Future MDAP Costs

Analysis of Contractor Data in Federal Acquisition Databases

Wu, Ningning
Talburt, John
Wang, Richard
Tudoreanu, Mihail

April 2020

Panel #11: Analytics in Acquisition ManagementNaval Postgraduate SchoolApproved for public release; ...

A Case Study on the Impacts of Cost Estimating Within Acquisition Program Decision-Making

Juelson, Brady

April 2020

Student Research Poster Show of the 17th Annual Acquisition Research SymposiumNaval Postgraduate Sch...

Advanced Concepts and Applications for Predictive Analytics in the Maritime Domain

Johnson, Bonnie W.

December 2019

NPS NRP Executive SummaryAdvanced Concepts and Applications for Predictive Analytics in the Maritime...

Using Natural Language Processing, Sentiment Analysis, and Text Mining to Determine if Text in Selected Acquisition Report Executive Summaries Are Highly Correlated with Major Defense Acquisition Program (MDAP) Unit Costs and Can Be Used as a Variable to Predict Future MDAP Costs

Joseph, Brian
Smith, Michael
Sconion, Darris

May 2020

Panel #11: Analytics in Acquisition ManagementAcquisition Research: Creating Synergy for Informed Ch...

Application of Natural Language Processing to Defense Acquisition Executive Summary Reports

Hassler, Madison
Clark, Terrence

May 2020

Panel #25: Unlocking the Value of Acquisition DataAcquisition Research: Creating Synergy for Informe...

System-of-Systems Acquisition Analytics Using Machine Learning Techniques

Raz, Ali
Balasubramani, Prajwal
Maheshwari, Apoorv
DeLaurentis, Daniel
Harrington, Stephanie Marie

April 2020

Panel #11: Analytics in Acquisition ManagementNaval Postgraduate SchoolApproved for public release; ...

Acquisition Program Problem Detection Using Text Mining Methods

Miller, Trevor P.

March 2012

This research provides program analysts and Department of Defense leadership with an approach to ide...

Recommending Recommendations to Support the Defense Acquisition Workforce

Lipizzi, Carlo
Behrooz, Hojat
Dressman, Michael
Vishwakumar, Arya Guddemane
Batra, Kunal

May 2022

Excerpt from the Proceedings of the Nineteenth Annual Acquisition Research SymposiumThis paper prese...

Assessing Department of Defense Use of Data Analytics and Enabling Data Management to Improve Acquisition Outcomes

McKernan, Megan
Drezner, Jeffrey
Munson, Ken
Anton, Philip
Newberry, Sydne
Levedahl, Alexis

April 2020

Panel #25: Unlocking the Value of Acquisition DataNaval Postgraduate SchoolApproved for public relea...

Measuring the Technology Transition Performance by Data Envelopment Analysis

Sueyoshi, Toshiyuki
Ryu, Youngbok

April 2020

Panel #11: Analytics in Acquisition ManagementNaval Postgraduate SchoolApproved for public release; ...

Using ANOVA and Multinomial Logistic Regression to Analyze Defense Acquisition Executive Summary (DAES) and Acquisition Program Baseline (APB) Milestone Estimates to Determine Contributing Factors to Schedule Slips

Joseph, Brian
Hastings, Christopher

April 2020

Panel #16: Improving Schedule Estimates in MDAPSNaval Postgraduate SchoolApproved for public release...

Application of Natural Language Processing to Defense Acquisition Executive Summary Reports?

Hassler, Madison
Clark, Terrence

April 2020

Panel #25: Unlocking the Value of Acquisition DataNaval Postgraduate SchoolApproved for public relea...

ANALYSIS OF PROCESS, PRODUCT, AND CONTEXT IN MILITARY ACQUISITIONS

Barber, Evan
Berg, Lane M.
Gallagher, James
Garrison, David C.
Lofthouse, Richard M., Jr.

June 2021

The objective of this research is to identify key factors that impact the probability of success of ...

Defense Acquisition Trends 2020: A Preliminary Look

McCormick, Rhys
Hunter, Andrew

April 2020

Panel #17: Performance of the Defense Acquisition SystemNaval Postgraduate SchoolApproved for public...

An Analysis of Major Acquisition Reforms through Text Mining and Grounded Theory Design

McGowin, Amanda L.

March 2018

Cost growth is an established phenomenon within Defense Acquisition that the US Government has attem...

Analysis of Contractor Data in Federal Acquisition Databases

Wu, Ningning
Talburt, John
Wang, Richard
Tudoreanu, Mihail

April 2020

Panel #11: Analytics in Acquisition ManagementNaval Postgraduate SchoolApproved for public release; ...

A Case Study on the Impacts of Cost Estimating Within Acquisition Program Decision-Making

Juelson, Brady

April 2020

Student Research Poster Show of the 17th Annual Acquisition Research SymposiumNaval Postgraduate Sch...

Advanced Concepts and Applications for Predictive Analytics in the Maritime Domain

Johnson, Bonnie W.

December 2019

NPS NRP Executive SummaryAdvanced Concepts and Applications for Predictive Analytics in the Maritime...

Using Natural Language Processing, Sentiment Analysis, and Text Mining to Determine if Text in Selected Acquisition Report Executive Summaries Are Highly Correlated with Major Defense Acquisition Program (MDAP) Unit Costs and Can Be Used as a Variable to Predict Future MDAP Costs

Joseph, Brian
Smith, Michael
Sconion, Darris

May 2020

Panel #11: Analytics in Acquisition ManagementAcquisition Research: Creating Synergy for Informed Ch...

Application of Natural Language Processing to Defense Acquisition Executive Summary Reports

Hassler, Madison
Clark, Terrence

May 2020

Panel #25: Unlocking the Value of Acquisition DataAcquisition Research: Creating Synergy for Informe...

System-of-Systems Acquisition Analytics Using Machine Learning Techniques

Raz, Ali
Balasubramani, Prajwal
Maheshwari, Apoorv
DeLaurentis, Daniel
Harrington, Stephanie Marie

April 2020

Panel #11: Analytics in Acquisition ManagementNaval Postgraduate SchoolApproved for public release; ...

Acquisition Program Problem Detection Using Text Mining Methods

Miller, Trevor P.

March 2012

This research provides program analysts and Department of Defense leadership with an approach to ide...

Recommending Recommendations to Support the Defense Acquisition Workforce

Lipizzi, Carlo
Behrooz, Hojat
Dressman, Michael
Vishwakumar, Arya Guddemane
Batra, Kunal

May 2022

Excerpt from the Proceedings of the Nineteenth Annual Acquisition Research SymposiumThis paper prese...

Assessing Department of Defense Use of Data Analytics and Enabling Data Management to Improve Acquisition Outcomes

McKernan, Megan
Drezner, Jeffrey
Munson, Ken
Anton, Philip
Newberry, Sydne
Levedahl, Alexis

April 2020

Panel #25: Unlocking the Value of Acquisition DataNaval Postgraduate SchoolApproved for public relea...

Measuring the Technology Transition Performance by Data Envelopment Analysis

Sueyoshi, Toshiyuki
Ryu, Youngbok

April 2020

Panel #11: Analytics in Acquisition ManagementNaval Postgraduate SchoolApproved for public release; ...

Using ANOVA and Multinomial Logistic Regression to Analyze Defense Acquisition Executive Summary (DAES) and Acquisition Program Baseline (APB) Milestone Estimates to Determine Contributing Factors to Schedule Slips

Joseph, Brian
Hastings, Christopher

April 2020

Panel #16: Improving Schedule Estimates in MDAPSNaval Postgraduate SchoolApproved for public release...

Application of Natural Language Processing to Defense Acquisition Executive Summary Reports?

Hassler, Madison
Clark, Terrence

April 2020

Panel #25: Unlocking the Value of Acquisition DataNaval Postgraduate SchoolApproved for public relea...

ANALYSIS OF PROCESS, PRODUCT, AND CONTEXT IN MILITARY ACQUISITIONS

Barber, Evan
Berg, Lane M.
Gallagher, James
Garrison, David C.
Lofthouse, Richard M., Jr.

June 2021

The objective of this research is to identify key factors that impact the probability of success of ...

Defense Acquisition Trends 2020: A Preliminary Look

McCormick, Rhys
Hunter, Andrew

April 2020

Panel #17: Performance of the Defense Acquisition SystemNaval Postgraduate SchoolApproved for public...

An Analysis of Major Acquisition Reforms through Text Mining and Grounded Theory Design

McGowin, Amanda L.

March 2018

Cost growth is an established phenomenon within Defense Acquisition that the US Government has attem...

Analysis of Contractor Data in Federal Acquisition Databases

Wu, Ningning
Talburt, John
Wang, Richard
Tudoreanu, Mihail

April 2020

Panel #11: Analytics in Acquisition ManagementNaval Postgraduate SchoolApproved for public release; ...

A Case Study on the Impacts of Cost Estimating Within Acquisition Program Decision-Making

Juelson, Brady

April 2020

Student Research Poster Show of the 17th Annual Acquisition Research SymposiumNaval Postgraduate Sch...

Advanced Concepts and Applications for Predictive Analytics in the Maritime Domain

Johnson, Bonnie W.

December 2019

NPS NRP Executive SummaryAdvanced Concepts and Applications for Predictive Analytics in the Maritime...

Using Natural Language Processing, Sentiment Analysis, and Text Mining to Determine if Text in Selected Acquisition Report Executive Summaries Are Highly Correlated with Major Defense Acquisition Program (MDAP) Unit Costs and Can Be Used as a Variable to Predict Future MDAP Costs

Abstract

Extracted data

Using Natural Language Processing, Sentiment Analysis, and Text Mining to Determine if Text in Selected Acquisition Report Executive Summaries Are Highly Correlated with Major Defense Acquisition Program (MDAP) Unit Costs and Can Be Used as a Variable to Predict Future MDAP Costs

Abstract

Extracted data

Related items

Related items