Comparison analysis for text data by using FACT-graph

Authors:
Ryosuke Saga;Seiko Takamizawa;Kodai Kitami;Hiroshi Tsuji;Kazunori Matsumoto
Affiliations:
Kanagawa Institute of Technology, Facuty of Information and Computer Science, Atsugi, Kanagawa, Japan;Kanagawa Institute of Technology, Graduate School of Engineering, Atsugi, Kanagawa, Japan;Kanagawa Institute of Technology, Graduate School of Engineering, Atsugi, Kanagawa, Japan;Osaka Prefecture University, Graduate School of Engineering, Nakaku, Sakai, Japan;Kanagawa Institute of Technology, Graduate School of Engineering, Atsugi, Kanagawa, Japan
Venue:
HCII'11 Proceedings of the 1st international conference on Human interface and the management of information: interacting with information - Volume Part II
Year:
2011

Citing 7
Cited 1

Automatic text processing

Automatic text processing
The Knowledge Management Toolkit: Practical Techniques for Building a Knowledge Management System with Cdrom

The Knowledge Management Toolkit: Practical Techniques for Building a Knowledge Management System with Cdrom
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Building the Data Warehouse

Building the Data Warehouse
FACT-Graph: Trend Visualization by Frequency and Co-occurrence

KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Loopo: Integrated Text Miner for FACT-Graph-Based Trend Analysis

Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009
Development and case study of trend analysis software based on FACT-Graph

Artificial Life and Robotics

Visualization analysis of e-commerce site from web access log by FACT-Graph and sequential probability ratio test

International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 2 of 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a method to apply the Frequency and Cooccurrence Trend (FACT)-Graph to comparison analysis. FACT-Graph is the method to visualize the changes in keyword trends and relationships between terms over two time periods. The usefulness of FACT-Graph has been shown in tracking trends in politics and crime. To apply FACT-Graph to compare information, we use class transition analysis and separate analysis periods into categories that are the target of comparisons, and collate the features in each comparison target. For the comparison analysis by using 138 articles from two newspapers, we compare topics such as politics and events in them by using the relationships between terms found in the FACT-Graph results.