This paper summarizes the research results on the method of extracting field associative words and related words from blog search as part of the semantic understanding technique of the blog document. The purpose of this study is to describe the significance of the identification of geoinformatics using field associative words in blog search. In addition, we explain the proposed field associative word method. In this method, we used a blog containing various categories as input to extract information on the ground field, but we can obtain a correct Accuracy rate of 80% or more, and this method is considered to be effective.
Published In:IJCAT Journal Volume 7, Issue 7
Date of Publication : July 2020
Pages : 123-128
Abdunabi Ubul :
received his B. Sc. degree in economics and
Management information from Xinjiang University, China in
2004. He has received his M. Sc. degree from Department of
Economics, Faculty of Integrated Arts and Sciences, University
Of Tokushima, Japan in 2008. Received his Ph. D. degree from Department of Information Science and Intelligent Systems.
University of Tokushima, Japan in 2012. His research interests include information retrieval, natural language processing and document processing.
Blog search, Geo-Informatics, Field association word
In this paper, we have explained the identification of geo-informatics identification in blog search using field association words. The blog search in this research is to divide blogs belonging to a category into blogs that are in the same field as the category and blogs that are in a different field, and to search for blogs that are related to each other. In order to realize these, we have explained the method of extracting field association words from a blog and identifying the identification of geo-informatics of the blog. In addition, when searching for related blogs, we explained a method to judge blogs that have similar contents by using the Identification of geoinformatics of the blog, the extracted field associative word, and the non-field associative word that is a noun that cannot associate the field.
 Bautin, M., Vijayarenu, L. and Skiena, S.: International Sentiment Analysis forNews and Blogs, Proc. ICWSM, pp.19-26 (2008).
 Evans, D.K., Ku, L.-W., Seki, Y., Chen, H.-H. and Kando, N.: Opinion Analysis across Languages: An Overview of and Observations from the NTCIR6 Opinion Analysis Pilot Task, Proc. 3rd Inter. Cross-Language Information Processing Workshop (CLIP2007), pp.456-463 (2007).
 Nakasaki, H., Kawaba, M., Utsuro, T. and Fukuhara, T.: Mining CrossLingual/Cross-Cultural Differences in Concerns and Opinions in Blogs, Computer Processing of Oriental Languages: Language Technology for the Knowledge-Based Economy: 22nd International Conference, ICCPOL 2009 (Li, W. and MollŽa-Aliod, D., eds.), Vol.5459, Springer, pp.213-224 (2009).
 Wiebe, J., Wilson, T. and Cardie, C.: Annotating Expressions of Opinions andEmotions in Language, Language Resources and Evaluation, Vol.39, No.2-3, pp.165-210 (2005).
 Yangarber, R., Best, C., von Etter, P., Fuart, F., Horby, D. and Steinberger,R.: Combining Information about Epidemic Threats from Multiple Sources, Proc.Workshop: Multi-source, Multilingual Information Extraction and Summarization, pp.41-48 (2007).
 E.-S. Atlam, G. Elmarhomy, M. Fuketa, K. Morita and J. Aoe, " A New Method For Selecting English Compound Terms and its Knowledge Representation", I Information Processing & Management Journal 2002, Vol.38, No.6, pp. 807-821
 Tshering Cigay Dorji, El-sayed Atlam, Susumu Yata, Masao Fuketa, Kazuhiro Morita, Jun-ichi Aoe, "Automatic building of new field association word candidates using search engine", Knowledge and Information Systems, 2011, Vol.27, No.4, pp.141-161.
 E.-S. Atlam, G. Elmarhomy, M. Fuketa, K. Morita and J. Aoe, "Automatic building of new field association word candidates using search engine", Information Processing & Management, 2006, Vol.42, No.4, pp.951-962.
 A.Ubul, El.Atlam, H. Kitagawa, M. Fuketa, K. Morita, J. Aoe, "An Efficient Method of Summarizing Documents Using Impression Measurements", An Efficient Method of Summarizing Documents Using Impression Measurements, 2013, Vol.32, No.2, pp.371-391.
 Abdunabi Ubul, Hidekazu Kakei, Jun-ichi Aoe: Research on Document Summary Generation Using Attribute Information,IJCAT Journal, Vol.1(1), pp.557 - 569 (2014).
 Goo Blog, http://blog.goo.ne.jp/.
 Ameba Blog, https://ameblo.jp/
 Live door Blog, http://blog.livedoor.com/
All rights reserverd @ IJCAT Journal www.IJCAT.org