Effective Thematic Words Extraction from a Book using Compound Noun Phrase Synthesis Method (복합 명사구 합성 방법을 적용한 효과적인 도서 본문 주제어 추출)

Hee-Jeong Ahn (안희정); Keewon Kim (김기원); Seung-Hoon Kim (김승훈)

doi:10.9708/jksci.2017.22.03.107

Effective Thematic Words Extraction from a Book using Compound Noun Phrase Synthesis Method

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2017, 22(3), pp.107-113
DOI : 10.9708/jksci.2017.22.03.107
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : March 7, 2017
Accepted : March 23, 2017
Published : March 31, 2017

Hee-Jeong Ahn ¹, Keewon Kim ¹, Seung-Hoon Kim ¹

¹단국대학교

Accredited

ABSTRACT

Most of online bookstores are providing a user with the bibliographic book information rather than the concrete information such as thematic words and atmosphere. Especially, thematic words help a user to understand books and cast a wide net. In this paper, we propose an efficient extraction method of thematic words from book text by applying the compound noun and noun phrase synthetic method. The compound nouns represent the characteristics of a book in more detail than single nouns. The proposed method extracts the thematic word from book text by recognizing two types of noun phrases, such as a single noun and a compound noun combined with single nouns. The recognized single nouns, compound nouns, and noun phrases are calculated through TF-IDF weights and extracted as main words. In addition, this paper suggests a method to calculate the frequency of subject, object, and other roles separately, not just the sum of the frequencies of all nouns in the TF-IDF calculation method. Experiments is carried out in the field of economic management, and thematic word extraction verification is conducted through survey and book search. Thus, 9 out of the 10 experimental results used in this study indicate that the thematic word extracted by the proposed method is more effective in understanding the content. Also, it is confirmed that the thematic word extracted by the proposed method has a better book search result.

KEYWORDS

Book, Text mining, Thematic word, Extraction, Compound Noun Phrase

Citation status

* References for papers published after 2023 are currently being built.

[journal] 신현일 / 2010 / fficient Blog Retrieval System by Topic-based Weighting / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 15(4) : 1~9

[journal] 이성직 / 2009 / Keyword Extraction from News Corpus using Modified TF-IDF / 한국전자거래학회지 / 한국전자거래학회 14(4) : 59~73

[journal] 한승희 / 2010 / A Study on Keyword Extraction From a Single Document Using Term Clustering / 한국문헌정보학회지 / 한국문헌정보학회 44(3) : 155~173

[confproc] H. J. Ahn / 2015 / Thematic Word Extraction from Book Based on Keyword Weighting Method / Proceedings of the Korean Society of Computer Information Conference 23(1) : 19~22

[confproc] J. Cho / 2013 / Performance Improvements in Keyphrase Extraction via Candidate Phrase Selection Based on Natural Language Processing Techniques / Korean Institute of Information Scientists and Engineers 40 : 729~731

[journal] 유은순 / 2015 / Study on Extraction of Keywords Using TF-IDF and Text Structure of Novels / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 20(2) : 121~129

[journal] H. Won / 2000 / Integrated Indexing Method using Compound Noun Segmentation and Noun Phrase Synthesis / Journal of KISS : Software and Applications 27(1) : 84~95

[confproc] K. Son / 2004 / Weighting Methods for compound Nouns in Patent Retrieval System / Korean Institute of Information Scientists and Engineers 31(1) : 895~897

[journal] 박찬이 / 2006 / A Segmentation Method of Compound Nouns Using Syllable Preference / 멀티미디어학회논문지 / 한국멀티미디어학회 9(2) : 151~159

[journal] 조민희 / 2011 / A Method Of Compound Noun Phrase Indexing for Resolving Syntactic Diversity / 한국콘텐츠학회 논문지 / 한국콘텐츠학회 11(3) : 467~476

[journal] S. S. Kang / 2001 / Term Weighting Method by Postposition and Compound Noun Recognition / Korean Institute of Information Scientists and Engineers 28(2) : 196~198

[web] / HANNANUM / http://semanticweb.kaist.ac.kr/hannanum/

[web] / KKMA / http://kkma.snu.ac.kr/

[book] H. B. Lim / 2007 / Discourse-pragmatic notion of topic and syntactic analysis in Korea / Seoul National University Press

[journal] 전영철 / 2009 / On 'i/ka' as a Topic Marker / 담화와 인지 / 담화·인지언어학회 16(3) : 217~238

[journal] 박동호 / 2007 / How to analyse and teach Korean specific particles ‘i/ka’ and ‘eul/leul’. / Foreign Languages Education / 한국외국어교육학회 14(2) : 381~402

[journal] I. S. Choe / 2001 / A Study on an Automatic Summarization System Using Verb-Based Sentence Patterns / Journal of the Korean Society for Information Management 18(4) : 37~55

[web] / Google Books / https://books.google.co.kr/

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Effective Thematic Words Extraction from a Book using Compound Noun Phrase Synthesis Method

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Effective Thematic Words Extraction from a Book using Compound Noun Phrase Synthesis Method

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.