• Title/Summary/Keyword: science texts

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Representation of Texts into String Vectors for Text Categorization

  • Jo, Tae-Ho
    • Journal of Computing Science and Engineering
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    • v.4 no.2
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    • pp.110-127
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    • 2010
  • In this study, we propose a method for encoding documents into string vectors, instead of numerical vectors. A traditional approach to text categorization usually requires encoding documents into numerical vectors. The usual method of encoding documents therefore causes two main problems: huge dimensionality and sparse distribution. In this study, we modify or create machine learning-based approaches to text categorization, where string vectors are received as input vectors, instead of numerical vectors. As a result, we can improve text categorization performance by avoiding these two problems.

Automatic Extraction of Medical Term Definition from Texts (의학 전문용어의 정의문 자동 추출)

  • 김재호;배선미;신효식;최기선
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.922-924
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    • 2004
  • 지식 정보의 확산에 따라 기존 전문분야 용어집에 수록되지 않은 용어의 수가 폭발적으로 증가하고 있다 이에 따라 용어집을 자동으로 구축하는 작업이 필요하게 되었다. 본 논문에서는 의학분야 코퍼스에서 주어진 전문용어에 대한 정의문을 자동으로 추출하는 방법을 제안한다. 우선, 정의문의 구문적 패턴과 용어의 어휘구성 패턴을 이용하여 용어의 상위개념을 추정한다. 상위개념별로 구축된 특성 어휘 목록을 이용하여 구문적 패턴으로 뽑힌 문장에 등장하는 어휘의 적합성 여부를 판단하여 정의문을 추출한다. 실험 결과 코퍼스에 정의 정보가 있는 48개의 용어에 대하여 71.43%의 정확률을 보인다.

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A Novel Statistical Feature Selection Approach for Text Categorization

  • Fattah, Mohamed Abdel
    • Journal of Information Processing Systems
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    • v.13 no.5
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    • pp.1397-1409
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    • 2017
  • For text categorization task, distinctive text features selection is important due to feature space high dimensionality. It is important to decrease the feature space dimension to decrease processing time and increase accuracy. In the current study, for text categorization task, we introduce a novel statistical feature selection approach. This approach measures the term distribution in all collection documents, the term distribution in a certain category and the term distribution in a certain class relative to other classes. The proposed method results show its superiority over the traditional feature selection methods.

The Meaning of the Arrows Used in Science Textbooks (과학 교과서에 사용된 화살표의 의미)

  • Han, Jae-Young
    • Journal of Korean Elementary Science Education
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    • v.25 no.3
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    • pp.244-256
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    • 2006
  • Elementary teachers should lower their levels of expectation and indeed perspectives to those of elementary students. Even in relation to basic symbols, such as an arrow, can be read differently by teachers or students. Semiotics deals with the creation of meaning in rotation to symbols and signs. This study introduces semiotic analysis to the study of science textbooks. Elementary science textbooks contain a great many inscriptions, such as photographs and cartoons, even more than texts, such as words and sentences. Inscriptions employ various social conventions such as arrows, auxiliary lines, etc. Some conventional signs, however, hold different or indeed multiple meanings than the textbook author intended the sign to have. The arrows used in science textbook, mainly in the inscriptions, were analyzed and classified according to their intended meaning. The results indicated that teachers should use such arrows more carefully in lessons with elementary students.

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Differential Effect of Item Characteristics on Science Achievement Between Genders

  • Shin, Dong-Hee;Moon, Nan-Moo
    • Journal of The Korean Association For Science Education
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    • v.24 no.1
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    • pp.17-28
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    • 2004
  • The purpose of this study is to determine the patterns of differences between genders in science achievement. Eleventh grade, 140 female and male students were sampled from a school in Seoul. According to the analysis results of pilot study, 20 items were finally selected for the main study. To sharpen our interpretations of the factors and provide some confirmation, we supplemented the statistical analysis with a more detailed cognitive study of the items using think-aloud protocols and interviews with student test takers. The analysis of this study took into account the different item formats, contexts, and presentation styles. The findings are as follows: First, there was no significant gender difference between multiple-choice and open-ended items. Second, male students achieved significantly better in the context of everyday life in multiple-choice items. Third, male students favored items presented as written texts. Fourth, in problem-solving process, female students tend to apply their science concepts, whereas male students tend to apply their everyday experiences. The results of this investigation indicate that gender difference in science achievement depends heavily on item characteristics.

An Analysis of Elementary $"Chay{\tilde{o}}n"$ Textbooks : From a Perspective of Gender Fairness (양성(兩性) 평등 교육의 관점에서 본 초등 학교 "자연" 교과서 분석)

  • Shin, Dong-Hee
    • Journal of The Korean Association For Science Education
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    • v.20 no.2
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    • pp.193-199
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    • 2000
  • The textbook is a predominant feature of most classrooms. Because the textbook is an important aspect of educational experience, it is essential that the content of the texts be carefully scrutinized. The purpose of this study was to examine the visual portrayal of gender groups in elementary $"Chay{\tilde{o}}n"$ textbooks developed by the 6th National Science Curriculum. An instrument was developed to analyze the nature and type of activity engaged in by these groups as well as how often members of these groups were portrayed. Data were collected from 8 elementary $"Chay{\tilde{o}}n"$ textbooks. The results show the following two different features. While the elementary $"Chay{\tilde{o}}n"$ textbooks do not show gender-biases in representing science learning activities such as observing, experimenting, measuring, they show distinct gender-stereotyped roles and activities. It is expected that the results of this study are considered in developing the new elementary "Science" textbooks which show gender-fairness.

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A Study on the Visual Literacy for Picture Book Reviews (그림책 서평의 시각적 문식성에 관한 연구)

  • Min, Kyeong-Rok
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.3
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    • pp.83-108
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    • 2017
  • As a public institution, it is the duty and responsibility of a library to provide readers with information about books. To provide such information to readers, a librarian should have the ability to provide satisfactory consultation and advice. As interest in picture books grows, there is an increasing need for libraries and librarians to produce and release picture book reviews on a regular basis to inform readers of what makes a good picture book, and which among similar books should they choose. Other than summarizing the content of a picture book, a good picture book review should also provide additional information that will help readers understand the reviewed book such as the literary symbolism of a book's visual texts. To this end, a librarian is required to develop visual literacy, which would enable him/her to read into the deeper meaning of the images imbued with the writer's ideas and philosophy. In light of the above discussion, this study compares and analyzes two picture book versions of the story Little Red Riding Hood, with the purpose of helping librarians understand the visual texts that they need to refer to when writing picture book reviews.

A Study on Opinion Mining of Newspaper Texts based on Topic Modeling (토픽 모델링을 이용한 신문 자료의 오피니언 마이닝에 대한 연구)

  • Kang, Beomil;Song, Min;Jho, Whasun
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.4
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    • pp.315-334
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    • 2013
  • This study performs opinion mining of newspaper articles, based on topics extracted by topic modeling. We analyze the attitudes of the news media towards a major issue of 'presidential election', assuming that newspaper partisanship is a kind of opinion. We first extract topics from a large collection of newspaper texts, and examine how the topics are distributed over the entire dataset. The structure and content of each topic are then investigated by means of network analysis. Finally we track down the chronological distribution of the topics in each of the newspapers through time serial analysis. The result reveals that both the liberal newspapers and the conservative newspapers exhibit their own tendency to report in line with their adopted ideology. This confirms that we can count on opinion mining technique based on topics in order to analyze opinion in a reliable fashion.

Project Failure Main Factors Analysis using Text Mining in Audit Evaluation (감리결과에 텍스트마이닝 기법을 적용한 프로젝트 실패 주요요인 분석)

  • Jang, Kyoungae;Jang, Seong Yong;Kim, Woo-Je
    • Journal of KIISE
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    • v.42 no.4
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    • pp.468-474
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    • 2015
  • Corporations should make efforts to recognize the importance of projects, identify their failure factors, prevent risks in advance, and raise the success rates, because the corporations need to make quick responses to rapid external changes. There are some previous studies on success and failure factors of projects, however, most of them have limitations in terms of objectivity and quantitative analysis based on data gathering through surveys, statistical sampling and analysis. This study analyzes the failure factors of projects based on data mining to find problems with projects in an audit report, which is an objective project evaluation report. To do this, we identified the texts in the paragraph of suggestions about improvement. We made use of the superior classification algorithms in this study, which were NaiveBayes, SMO and J48. They were evaluated in terms of data of Recall and Precision after performing 10-fold-cross validation. In the identified texts, the failure factors of projects were analyzed so that they could be utilized in project implementation.

A Traditional Literature Review on Acupuncture and Moxibustion during Pregnancy (임신시 침구 치료의 고전문헌 고찰)

  • Chang, Li;Sohn, Young-Joo;Lee, Yong-Bum;Lee, Hyang-Sook
    • Korean Journal of Acupuncture
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    • v.28 no.2
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    • pp.87-104
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    • 2011
  • Objectives : A safety issue on acupuncture and moxibustion treatment during pregnancy is as important as effectiveness. To establish a rationale and research strategy for future studies, a traditional literature review was performed to summarize how and for what conditions acupuncture and moxibustion treatment was given during pregnancy. Methods : An extensive traditional literature search for acupuncture and moxibustion treatment during pregnancy was conducted in texts on acupuncture and moxibustion, obstetrics and gynecology, and comprehensive medical texts. Treatment conditions, methods, and contraindications were summarized and tabulated. Results : Twenty-eight books were included in our review. Most frequent description of acupuncture and moxibustion treatment use during pregnancy was for difficult delivery including breech presentations; commonly used acupuncture points for difficult labor included LI4, SP6, BL67, BL60, KI6, ST30, SP12, LR4, LR3, PC6, CV3, CV14, KI13, and GB21, indicating that they may have to be avoided during pregnancy. Descriptions of other symptoms or conditions were sparse. For habitual abortion or recurrent miscarriage, moxibustion on GV4, BL23, CV3, KI8, and KI2 was indicated. A combination of LI4 and SP6, and CV4 were contraindicated during pregnancy consistently across the reviewed books. Conclusions : Our traditional literature review has shown that the use of acupuncture and moxibustion treatment during pregnancy has been limited. Given that more and more pregnant women are interested in safe and effective treatment, further research of acupuncture's safety and efficacy during pregnancy is urgently needed.