Science, Technology & Innovation Textual Data – Oriented Topic Analysis and Forecasting: Model and A Case Study o Yi Zhang
Beijing Institute of Technology, China;
University of Technology Sydney, Australia;
o Guangquan Zhang, Jie Lu
University of Technology Sydney, Australia;
o Donghua Zhu
Beijing Institute of Technology, China;
o Alan L. Porter
Georgia Institute of Technology, USA;
Motivation
ST&I
External Quantity
Potential Concept
Internal Feature
HOW TO DETECT AND
FORECAST THIS KIND OF
TOPIC CHANGES?
Data and Results
o The United States National Science Foundation Awards
o Division of Computer Communication Foundation
o 2009 to 2013, 9274 records after Term Clumping cleaning process
o 90 Topics generated via K Means clustering approach
# Phrases > Words; TF > TFIDF; Abstract Terms + Weighted (Title, PE/PR Code)
o 54 Topics identified after expert judgments
THANK YOU!
Yi Zhang
