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The Research&Appliance of Text-Categorization Algorithm in Large-scale Heterogeneous Environment

Author: WangYaGe
Tutor: GaoKai
School: Hebei University of Science and Technology
Course: Applied Computer Technology
Keywords: Heterogeneous Data Uni-processing Text-Categorization Web PageContent Extraction Data Processing in Large-scale Mode InformationAcquisition
CLC: TP391.1
Type: Master's thesis
Year: 2012
Downloads: 8
Quote: 1
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Abstract


The computer application that takes networking as an important part have marchedinto a glorious era, with many new application environment and needing appearing all thetime. For some large-scale systems such as search engines and social networks, datagenerates at a rather high speed. How to cope with these data effectively and mine thevalue behind it is the problem that industry are trying to resolve. Meanwhile, most dataexists heterogeneously, making it a challenging job of effectively utilizing them.Text-categorization technology is such a key technology that still remains the same inthe lage-scale data processing environment. Although traditional classifying methods havemany inherint virtues, they always have limitations in speed, does not suit the highdata-flow environment. In order to solve these problems, this dissertation made some trailsin the research, including:1) Proposeing a speedy text-categorization algorithm through calculations on singleChinese character related computing.2) Designing a simple, scalable distributed web crawler in order to grab web contentsrapidly.3) Making some explorations on how to unify heterogeneous data via a XML-basedmethod, in the stage of web page processing, proposed an algorithm for extracting textcontent from a web page through a DOM-based view.4) Implementing a practical general search system, equipped with a categorizationfunction, which provides a find-grained control for the users’ search action, with users’experience improved.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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