• Title/Summary/Keyword: 주관적 표현구

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Combining Sentimental Expression-level and Sentence-level Classifiers to Improve Subjective Sentence Classification (감정 표현구 단위 분류기와 문장 단위 분류기의 결합을 통한 주관적 문장 분류의 성능 향상)

  • Kang, In-Ho
    • The KIPS Transactions:PartB
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    • v.14B no.7
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    • pp.559-566
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    • 2007
  • Subjective sentences express opinions, emotions, evaluations and other subjective ideas relevant to products or events. These expressions sometimes can be seen in only part of a sentence, thus extracting features from a full-sentence can degrade the performance of subjective-sentence-classification. This paper presents a method for improving the performance of a subjectivity classifier by combining two classifiers generated from the different representations of an input sentence. One representation is a sentimental phrase that represents an automatically identified subjective expression or objective expression and the other representation is a full-sentence. Each representation is used to extract modified n-grams that are composed of a word and its contextual words' polarity information. The best performance, 79.7% accuracy, 2.5% improvement, was obtained when the phrase-level classifier and the sentence-level classifier were merged.

FUZZY 이론을 응용한 질감 표현의 객관적 등급예측

  • 이수민;권영하;이주영
    • Proceedings of the Korean Fiber Society Conference
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    • 1998.04a
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    • pp.274-279
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    • 1998
  • 주관적인 질감을 표현하는 형용사는 매끄럽기-껄끄럽기, 편편하기-우둘두둘하기, 부드럽기-뻣뻣하기, 폭신하기-딱딱하기로 4개의 상반된 쌍으로 정리 분류할 수 있었다. 직물을 7점 척도에 의해 표현되는 질감을 조사하고, 동일직물의 마찰계수, 표면 거칠기, 마찰력, 밀도, 중량, 두께 등의 역학적, 물리적 값을 객관적으로 측정한 후 상호 상관관계를 구하고 Fuzzy 이론을 이용하여 객관적 등급을 예측하는 모델을 확립하였다.(중략)

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Extracting multiple sentiment expression areas using BERT+CRF (BERT+CRF를 이용한 다중 감성 표현 영역 추출)

  • Park, Ji-Eun;Lee, Ju-Sang;Ock, Cheol-Young
    • Annual Conference on Human and Language Technology
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    • 2021.10a
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    • pp.571-575
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    • 2021
  • 감성분석이란 텍스트에 들어있는 의견이나 감성, 평가, 태도 등의 주관적인 정보를 컴퓨터를 통해 분석하는 과정이다. 본 논문은 다양한 감성분석 실험 중 감성이 드러나는 부분을 파악하여 서술어 중심의 구 혹은 절 단위로 감성 표현 영역을 추출하는 모델을 개발하고자 한다. 제안하는 모델은 BERT에 classification layer와 CRF layer를 결합한 것이고 baseline은 일반 BERT 모델이다. 실험 결과는 기존의 baseline 모델의 f1-score이 33.44%이고 제안한 BERT+CRF 모델의 f1-score이 40.99%이다. BERT+CRF 모델이 7.55% 더 좋은 성능을 보인다.

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Video Summarization Using Importance-based Fuzzy One-Class Support Vector Machine (중요도 기반 퍼지 원 클래스 서포트 벡터 머신을 이용한 비디오 요약 기술)

  • Kim, Ki-Joo;Choi, Young-Sik
    • Journal of Internet Computing and Services
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    • v.12 no.5
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    • pp.87-100
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    • 2011
  • In this paper, we address a video summarization task as generating both visually salient and semantically important video segments. In order to find salient data points, one can use the OC-SVM (One-class Support Vector Machine), which is well known for novelty detection problems. It is, however, hard to incorporate into the OC-SVM process the importance measure of data points, which is crucial for video summarization. In order to integrate the importance of each point in the OC-SVM process, we propose a fuzzy version of OC-SVM. The Importance-based Fuzzy OC-SVM weights data points according to the importance measure of the video segments and then estimates the support of a distribution of the weighted feature vectors. The estimated support vectors form the descriptive segments that best delineate the underlying video content in terms of the importance and salience of video segments. We demonstrate the performance of our algorithm on several synthesized data sets and different types of videos in order to show the efficacy of the proposed algorithm. Experimental results showed that our approach outperformed the well known traditional method.

The Attitudinal Force of Psuedo-Quotation Sentences in Korean (유사인용문의 화법 구조)

  • 김종현
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2000.05a
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    • pp.178-185
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    • 2000
  • 청자를 직접 대면한 상황에서 1인칭 화자는 {X, Y, 말했다}의 인용구조를 갖추지 않은'[...]고'의 '유사인용문'을 사용하여 주관적 관점을 표현한다. '-다고'로 종결되는 유사인용문 형식이 인용문의 화법과 유사한 기저구조를 지니는 것으로 보고, 화법구조상에서 관점문과 보고문의 의미적 속성을 밝혀나가는 과정에서 유상인용문의 발화 효과와 화자의 발언의도를 설명한다. 화자가 취하는 관점의 선택에 따라 1인칭 화자인 [나] 이외에 다른 제 3 의 주체, 사회적 구속력 등이 화자의 배경지식에 자리잡는 것을 가능세계의 논리적 분할의 측면에서 구분하고 이것이 유사인용문 화자의 발언 동기에 반영되는 정도의 차이에 따라서 화자의 단언적 태도와 완곡의 태도가 각각 실현되는 것임을 보인다.

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Fuzzy One Class Support Vector Machine (퍼지 원 클래스 서포트 벡터 머신)

  • Kim, Ki-Joo;Choi, Young-Sik
    • Journal of Internet Computing and Services
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    • v.6 no.3
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    • pp.159-170
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    • 2005
  • OC-SVM(One Class Support Vector Machine) avoids solving a full density estimation problem, and instead focuses on a simpler task, estimating quantiles of a data distribution, i.e. its support. OC-SVM seeks to estimate regions where most of data resides and represents the regions as a function of the support vectors, Although OC-SVM is powerful method for data description, it is difficult to incorporate human subjective importance into its estimation process, In order to integrate the importance of each point into the OC-SVM process, we propose a fuzzy version of OC-SVM. In FOC-SVM (Fuzzy One-Class Support Vector Machine), we do not equally treat data points and instead weight data points according to the importance measure of the corresponding objects. That is, we scale the kernel feature vector according to the importance measure of the object so that a kernel feature vector of a less important object should contribute less to the detection process of OC-SVM. We demonstrate the performance of our algorithm on several synthesized data sets, Experimental results showed the promising results.

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Sentiment Classification considering Korean Features (한국어 특성을 고려한 감성 분류)

  • Kim, Jung-Ho;Kim, Myung-Kyu;Cha, Myung-Hoon;In, Joo-Ho;Chae, Soo-Hoan
    • Science of Emotion and Sensibility
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    • v.13 no.3
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    • pp.449-458
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    • 2010
  • As occasion demands to obtain efficient information from many documents and reviews on the Internet in many kinds of fields, automatic classification of opinion or thought is required. These automatic classification is called sentiment classification, which can be divided into three steps, such as subjective expression classification to extract subjective sentences from documents, sentiment classification to classify whether the polarity of documents is positive or negative, and strength classification to classify whether the documents have weak polarity or strong polarity. The latest studies in Opinion Mining have used N-gram words, lexical phrase pattern, and syntactic phrase pattern, etc. They have not used single word as feature for classification. Especially, patterns have been used frequently as feature because they are more flexible than N-gram words and are also more deterministic than single word. Theses studies are mainly concerned with English, other studies using patterns for Korean are still at an early stage. Although Korean has a slight difference in the meaning between predicates by the change of endings, which is 'Eomi' in Korean, of declinable words, the earlier studies about Korean opinion classification removed endings from predicates only to extract stems. Finally, this study introduces the earlier studies and methods using pattern for English, uses extracted sentimental patterns from Korean documents, and classifies polarities of these documents. In this paper, it also analyses the influence of the change of endings on performances of opinion classification.

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A Study of Experimental Image Direction for Short Animation Movies -focusing in short film and (단편애니메이션의 실험적 영상연출 연구 -<탱고>와 <페스트 필름>을 중심으로)

  • Choi, Don-Ill
    • Cartoon and Animation Studies
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    • s.36
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    • pp.375-391
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    • 2014
  • Animation movie is a non-photorealistic animated art that consists of formative language forming a frame based on a story and cuts describing frames that form the cuts. Therefore, in expressing an image, artistic expression methods and devices for a formative space are should be provided in a frame while cuts have the images between frames faithfully. Short animation movie is produced by various image experiments with unique image expressions rather than narration for expressing subjective discourse of a writer. Therefore, image style that forms unique images and various image directions are important factors. This study compared the experimental image directions of and , both of which showed a production method of film manipulation. First, while uses pixilation that produces images obtained from live images through painting and many optical disclosure process on a cell mat, was made with diverse collage techniques such as tearing, cutting, pasting, and folding hundreds of scenes from action movies. Second, expresses non-causal relationship of characters by their repetitive behaviors and circulatory image structure through a fixed camera angle, resisting typical scene transition. On the other hand, has an advancing structure that progresses antagonistic relationship of characters through diverse camera angles and scene transition of unique images. Third, in terms of editing, uses a long-take short cut technique in which the whole image consists of one short cut, though it seems to be many scenes with the appearance of various characters. On the other hand, maximizes visual fun and commitment by image reconstruction with hundreds of various short cuts. That is, both works have common features of an experimental work that shows expansion of animated image expressions through film manipulation that is different form general animation productions. On top of that, delivers routine life of diverse human beings without clear narration through image of conceptualized spaces. expresses it in a new image space through image reconstruction with collage technique and speedy progress, setting a binary opposition structure.

Writing and Sijo in new media culture age (새로운 매체문화시대의 글쓰기와 시조)

  • Jung Ki-chul
    • Sijohaknonchong
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    • v.22
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    • pp.27-55
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    • 2005
  • Visual media are taken the highest position in modem society, Modern poems also have been changed into visual poems, This aspect is the result of considering only individual talents ignoring traditions. Now, new Sigo should be concentrated on the mythological and historical voice from true nature and the body of human being, That is. ut should be converted into an ecological world view resolutely and restored a form of expression granted specific characteristics of our language. Advantages the computer media have brought. that is. equality freedom. human rights. harmony. pro-environmental value. can be maximized by positively accepting an ecological world view of Sijo which had included daily lives and spirits of the nation. Moreover. these all changes of new Sijo have to be established and recreated in the traditional expressions of Sijo. Aesthetic value of Sijo should be found in the expression forms such as phonetic harmony, rules of versification, rhythm, and etc. Then, we can overcome modern society's pathological phenomena such as severance, separation, dissolution, estrangement, psychiatric syndrome and etc. which visual media superiority brought. At the same time. it will cure ills of modern poems, Sijo and writing epochally and can establish true happiness and development.

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On the general terms of the recurrence relation an=an-1+an-3, a1=a2=a3=1 (점화식 an=an-1+an-3, a1=a2=a3=1의 일반항에 대하여)

  • Roh, Moon Ghi;Jung, Jae Hoon;Kang, Jeong Gi
    • Communications of Mathematical Education
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    • v.27 no.4
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    • pp.357-367
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    • 2013
  • It is important to make students do research for oneself. But the practice of inquiry activity is not easy in the mathematics education field. Intellectual curiosities of students are unpredictable. It is important to meet intellectual curiosities of students. We could get a sequence in the process solving a problem. This sequence was expressed in a form of the recurrence relation $a_n=a_{n-1}+a_{n-3}$ ($n{\geq}4$), $a_1=a_2=a_3=1$. We tried to look for the general terms of this sequence. This sequence is similar to Fibonacci sequence, but the process finding the general terms is never similar to Fibonacci sequence. We can get two general terms expressed in different form after our a great deal of effort. We hope that this study will give the spot of education energy.