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

Thumbnail Image
Files
Using_Natural_Language_Processing_SYM-AM-20-061.pdf (400.58 KB)
Authors
Joseph, Brian
Smith, Michael
Sconion, Darris
Subjects
Advisors
Date of Issue
2020-05
Date
2020-05
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Type
Report
Description
Panel #11: Analytics in Acquisition Management
Acquisition Research: Creating Synergy for Informed Change. 17th Annual Acquisition Research Symposium
URI
https://hdl.handle.net/10945/65997
Series/Report No
Department
Organization
Identifiers
NPS Report Number
SYM-AM-20-061
Sponsors
Funding
Format
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
Collections
Conferences