Paper Info
Title
Evaluation of Communication and Travel Behavior Extraction with Latent Topics.
Abstract
This study proposed the habitual behavior information extraction method from the data on Internet to build effective behavioral change support system so far. It is well known that habitual behavior improvement is important to avoid risk behaviors for a safety driving and a health improvement. It used Latent Dirichlet Allocation approach and evaluated by using telecommunication behaviors in Question and answering Web sites. This paper describes another evaluation by using travel behavior information. On the other hand, the dependency relation is often used to extract valuable information from text data. It also shows the comparative evaluation between our proposed method and the dependency relation method. It is realized the proposed method is more accurate than the dependency relation method according to the result of the evaluation.
Year
DOI
Venue
2014
10.1016/j.procs.2014.08.163
Procedia Computer Science
Keywords
Field
DocType
Habitual behavior,Behavioral modification,LDA,PMI
Dependency relation,Travel behavior,Data mining,Latent Dirichlet allocation,Support system,Computer science,Information extraction,Artificial intelligence,Machine learning,The Internet
Conference
Volume
ISSN
Citations 
35
1877-0509
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Nobuo Suzuki1105.71
Kazuhiko Tsuda210847.18