An intelligent representing system of search results

Author

Zhang, Zheng ; Bai, Gang ; Li, Jinhua ; Zhu, Yi

Author_Institution

Coll. of Comput. Sci. & Software, Tianjin Polytech. Univ., Tianjin, China

fYear

2010

fDate

3-5 Dec. 2010

Firstpage

297

Lastpage

300

Abstract

This paper is mainly about the method of an Intelligent Representing System of Search Results with the ability to cluster the search results from famous search engines into several classes. Firstly, we combine the N-gram statistical model with syntactic method to conduct word segmentation after preprocessing; and then some feature words are selected by their part of speech and frequency; finally, a unique clustering method is proposed in this paper, which is based on a target function by calculating term covers and their overlaps. In addition to the clustering ability, our intelligent system is capable of labelling the main idea of the cluster results with a Chinese word, which is superior to many other text categorization systems.

Keywords

pattern clustering; search engines; statistical analysis; text analysis; N-gram statistical model; clustering method; intelligent representing system; intelligent system; search engines; search results; syntactic method; text categorization systems; word segmentation; Artificial intelligence; Clustering algorithms; Clustering methods; Computers; Search engines; Syntactics; Text categorization; N-Gram Word Segmentation; NLP; Text Clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Application (ICCIA), 2010 International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-8597-0

Type

conf

DOI

10.1109/ICCIA.2010.6141596

Filename

6141596