Position-Weighted Measures for the Company Name-Matching Problem
碩士 === 國立臺灣大學 === 經濟學研究所 === 104 === This thesis focuses on the company name-matching problem. We analyze common errors and complications in company names committed by users that make the company name-matching problem difficult. Although the company name-matching problem is a type of name-matching p...
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ndltd-TW-104NTU053890482017-04-29T04:31:56Z http://ndltd.ncl.edu.tw/handle/26453571913738870132 Position-Weighted Measures for the Company Name-Matching Problem 位置權重法在公司名匹配上的應用 Ching-Kuo Li 李清國 碩士 國立臺灣大學 經濟學研究所 104 This thesis focuses on the company name-matching problem. We analyze common errors and complications in company names committed by users that make the company name-matching problem difficult. Although the company name-matching problem is a type of name-matching problem, it has special features that make these common name-matching methods barely the best choice in the company name-matching problem. Therefore, according to the construction of the company name, we propose a novel idea of position weight to address company name-matching problem. Then, we compare our proposed position-weighted measure with the Monge-Elkan measure and the soft TF/IDF in the popular business data set and two data sets from a major semiconductors manufacturer. The result indicates that the position-weighted measure performs best overall based on maximum F1 and our proposed rating measure in the company name-matching problem. Besides the company name, the position weighted measure can also be used in some name-matching problems that have similar construction with the company name. Yusen Sung Yuh-Dauh Lyuu 宋玉生 呂育道 2016 學位論文 ; thesis 32 en_US |
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碩士 === 國立臺灣大學 === 經濟學研究所 === 104 === This thesis focuses on the company name-matching problem. We analyze common errors and complications in company names committed by users that make the company name-matching problem difficult. Although the company name-matching problem is a type of name-matching problem, it has special features that make these common name-matching methods barely the best choice in the company name-matching problem. Therefore, according to the construction of the company name, we propose a novel idea of position weight to address company name-matching problem. Then, we compare our proposed position-weighted measure with the Monge-Elkan measure and the soft TF/IDF in the popular business data set and two data sets from a major semiconductors manufacturer. The result indicates that the position-weighted measure performs best overall based on maximum F1 and our proposed rating measure in the company name-matching problem. Besides the company name, the position weighted measure can also be used in some name-matching problems that have similar construction with the company name.
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Yusen Sung |
author_facet |
Yusen Sung Ching-Kuo Li 李清國 |
author |
Ching-Kuo Li 李清國 |
spellingShingle |
Ching-Kuo Li 李清國 Position-Weighted Measures for the Company Name-Matching Problem |
author_sort |
Ching-Kuo Li |
title |
Position-Weighted Measures for the Company Name-Matching Problem |
title_short |
Position-Weighted Measures for the Company Name-Matching Problem |
title_full |
Position-Weighted Measures for the Company Name-Matching Problem |
title_fullStr |
Position-Weighted Measures for the Company Name-Matching Problem |
title_full_unstemmed |
Position-Weighted Measures for the Company Name-Matching Problem |
title_sort |
position-weighted measures for the company name-matching problem |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/26453571913738870132 |
work_keys_str_mv |
AT chingkuoli positionweightedmeasuresforthecompanynamematchingproblem AT lǐqīngguó positionweightedmeasuresforthecompanynamematchingproblem AT chingkuoli wèizhìquánzhòngfǎzàigōngsīmíngpǐpèishàngdeyīngyòng AT lǐqīngguó wèizhìquánzhòngfǎzàigōngsīmíngpǐpèishàngdeyīngyòng |
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