以階層式詞義網路為基礎的中文文件分析及其效能評估

碩士 === 東海大學 === 資訊工程與科學系 === 91 === In this paper we research the mutual semantic relationship between terms via term concepts. We collect Chinese synonyms for building a synonyms thesaurus, and analyze documents with information retrieval tech like Chinese word tagging, natural language processing(...

Full description

Bibliographic Details
Main Author: 施政瑋
Other Authors: Fang-Yie Leu
Format: Others
Language:zh-TW
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/41549470128157479659
id ndltd-TW-091THU00394007
record_format oai_dc
spelling ndltd-TW-091THU003940072015-10-13T13:35:31Z http://ndltd.ncl.edu.tw/handle/41549470128157479659 以階層式詞義網路為基礎的中文文件分析及其效能評估 施政瑋 碩士 東海大學 資訊工程與科學系 91 In this paper we research the mutual semantic relationship between terms via term concepts. We collect Chinese synonyms for building a synonyms thesaurus, and analyze documents with information retrieval tech like Chinese word tagging, natural language processing(NLP), query processing, index constructing, etc. and build a semantic based document retrieval system.. It not only can handle keyword-based query, it can analyze documents by using lexical chain instead of keyword search to improve the accuracy in document retrieval. Besides, we evaluate retrieval performance with vector space model. Finally, we examine the system with document in certain domain and evaluate performance of the algorithm with recall and precision degree. Fang-Yie Leu 呂芳懌 2003 學位論文 ; thesis 84 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 東海大學 === 資訊工程與科學系 === 91 === In this paper we research the mutual semantic relationship between terms via term concepts. We collect Chinese synonyms for building a synonyms thesaurus, and analyze documents with information retrieval tech like Chinese word tagging, natural language processing(NLP), query processing, index constructing, etc. and build a semantic based document retrieval system.. It not only can handle keyword-based query, it can analyze documents by using lexical chain instead of keyword search to improve the accuracy in document retrieval. Besides, we evaluate retrieval performance with vector space model. Finally, we examine the system with document in certain domain and evaluate performance of the algorithm with recall and precision degree.
author2 Fang-Yie Leu
author_facet Fang-Yie Leu
施政瑋
author 施政瑋
spellingShingle 施政瑋
以階層式詞義網路為基礎的中文文件分析及其效能評估
author_sort 施政瑋
title 以階層式詞義網路為基礎的中文文件分析及其效能評估
title_short 以階層式詞義網路為基礎的中文文件分析及其效能評估
title_full 以階層式詞義網路為基礎的中文文件分析及其效能評估
title_fullStr 以階層式詞義網路為基礎的中文文件分析及其效能評估
title_full_unstemmed 以階層式詞義網路為基礎的中文文件分析及其效能評估
title_sort 以階層式詞義網路為基礎的中文文件分析及其效能評估
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/41549470128157479659
work_keys_str_mv AT shīzhèngwěi yǐjiēcéngshìcíyìwǎnglùwèijīchǔdezhōngwénwénjiànfēnxījíqíxiàonéngpínggū
_version_ 1717738106219659264