• Korean Journal of Cognitive Science
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• v.2 no.2
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• pp.405-428
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• 1990

Language has a social function to communicate information. Linguists have gradually paid their attention to the function of language since the nineteen sixties, especially to the relationship of form, meaning and the function. The relationship could be more clearly grasped through disciyrse-based analysis than through sentence-based analysis. Many researches were centered on the discourse functional notion of topic. In the early 1970's the subject was defined as the grammatiocalized topic the topic as a discrete single constituent of the clause. In the late 1970's several lingusts including Givon suggerted that the topic was not an atomic, disctete entity, and that the clause could have more than one topic. The purpose of the present study is, following Givon, to study grammatical coding devices of topic and to measure the relative topic continuity/discontinuity of participant argu, ents in Korean narratives. By so doing, I would like to shed some light on effective ways of communicating information. The grammatical coding devices analyzed are the following eight structures: zero-anaphora, personal pronous, demonstrative pronouns, names, noun phrases following demonstratives, noun phrases following possessives, definite noun phrases and indefinite referentials. The narrative studied for the count was taken from the KoreanCIA chief's Testiomny:Revolution and Idol by Hyung Wook Kim. It was chosen because it was assumed that Kim's purpose in the novel was to tell a true story, which would not distort the natural use of language for literary effect. The measures taken in the analysis wre those of 'lookback', 'persistence', ambiguity'. The first of these, 'lookback', is a measure of the size of gap between the previous occurrence of a referent and its current occurence in the clause. The meausure of persistence, which is a measure of the speaker's topocal intent, reflects the topic's importance in the discourse. The third measure is a measure of ambiguity. This is necessary for assessing the disruptive effects that other topics within five previous clauses may have on topic identification. The more other topics are present within five previous clauses, the more difficult is the task of correct identification of a topic. The results of the present study show that the humanness of entities is the most powerful factior in topic continutiy in narrative discourse. The semantic roles of human arguments in narrative discourse tend to be agents or experiences. Since agents and experiences have high topicality in discourse, human entities clearly become clausal or discoursal topics. The results also show that the grammatical devices signal varying degrees of topic continuity discontinuity in continuous discourse. The more continuous a topic argument is, the less it is coded. For example, personal pronouns have the most continutiy and indefinite referentials have the least continutiy. The study strongly shows that topic continuity discontinutiy is controlled not only by grammatical devices available in the language but by socio-cultural factors and writer's intentions.

• Journal of Korean Public Health Nursing
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• v.3 no.1
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• pp.74-100
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• 1989

Inspite of the lots of studies on the harmfulness of cigarette smoking to the body published by many researchers since 1950, cigarette smoking people are increasing in number especially, cigarette smoking by young and women causes a serious problem. Examining the physiological motives of youth shows that, impulse which the youth want to immitate the adults, alluring curiousity, and defiant physiology of escaping from the norm of traditional groups which has been banned are cooperated well compoundly. As the period of the youth is the one which they accumulate knowledge and charactor by learning as well as the period of growth mentally, and physically they should be rightly educated about smoking before they addicted to smoking and it is desirable for us to make the youth to understand how harmfully the smoking is to effect to their growth and mental soundness simply not as a social norm which they should not smoke. The main motive of this study on the attitude of smoking by the youth is to give basic materials related on this field. For this study, 647 questionnaires were used as studying material which were able to analyze among 720 questionnaires of 2 classes of each grade of 3 high schools among the high schools of boys, girls and co-educated in Seoul from Oct. 21, 1988 through Oct. 26, 1988. Study Instrument are graded in Likert's 5 point from 40 questions which are 20 questions m affirmations and 20 questions in negations after analyzing the factors on 60 simple sentence questions which the students showed in preliminary studies. And these are systemized to be measured from 1 point which means they think smoking IS very bad to 5points which means they think smoking is really good. In these collected materials, technical statistics of frequency. percentage, average, standard deviation are used for general character and smoking attitude, $X^2-test$ for examinning Independant variables of physical. emotional, ethical and other areas pearson's coefficient of correlation for related direction and degree" and step­regression analysis for the degree of relative contribution of all variables which effect smoking attitude. The results of this study are as follows; 1. The smoking attitude of high school boys and girls showed average of 1.78 in physical area, 2.63 in emotional area, 2.61 in ethical area, 2.29 in other area respectively in a negative attitude generally also the negative attitude are expressed most strongly in physical area. I've can also say by this results that smoking is harmful to their health and further more it can be judged that this proves the youth in the period of preparation be adults have a strong curiousity in the emotional, ethical and other areas. 2. The most influential variables in each field as related factors effecting smoking attitude of the student can be explained from 13.2 in physical area the lowest experienced variables to 25.2 in emotional area the highest of degree of smoking experience. The fact that the more the smoking experienced students are increasing in number the higher tendency which accept the' smoking tells as the importance of health education about the population of latest student's smoking as important variables shown equally in each area. Those of grade, age, numbers of smoking people in house are showed meaningful in pure interrelation. Those related to the acceptance of teacher's smoking, sex, mothors education are shown meaningful in opposite interrelations. This means that the' increasing number' of smoking people in grade age, the number of smoker in family have a affirmative attitude. And people who are not interested in teacher's smoking wants to quit it, and whose mother's education is higher have a negative attitude. 3. The most negatively answered questions of the smoking attitude In physical, emotional, ethical and other areas are as belows; Firstly too much smoking is harmful to our health is 1.12 point. Secondly smoking have a ill-effect on pregnancy and embryo is 1.13 point. Thirdly smoking is harmful· to our health is 1.27 point. Fourthly smoking in crowed area with the people such as In a bus or subway should be prohibited is 1.27point. Fifthly smoking can ruin lungs is 1.31 point. And the most affirmatively answered questions are also as below; Firstly we showed smoke depending on time and place is 3.96 points. Secondly smoking is just habit is 3.83 points. Thirdly smoking people seem to be unable and deplorable is 3.69 point. Fourthly smoking should be prohibited by law is 3.56 points. Fifthly high school student's smoking is immitation of adults is 3.52 points.

• (The)Study of the Eastern Classic
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• no.70
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• pp.91-117
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• 2018

This paper examines the persuasive style(論說類) proses of Myeonggog(明谷) Choi, seokjeong(崔錫鼎, 1646~1715). He is a disciple of Namguman(南九萬) and Parksechae(朴世采), and is a man who played an active part by political soron(少論) leader in the middle of the Joseon Dynasty. It is also a central figure that links the genealogy of the late Joseon Dynasty, which leads to Namguman(南九萬)-Choiseokjeong(崔錫鼎)-Chotaeeok(趙泰億). He wrote total 14 persuasive style prose. The time of creation is from around 1671 until the end of life. In this paper, the preoses to be analyzed are Sunukron(荀彧論), Bujadaegaron(夫子待賈論) and Muneongyebyeon(文言系辭辨). The reverse idea that reverses the existing discussion is outstanding, and the work which is unique in composition is Sunukron(荀彧論). Bujadaegaron(夫子待賈論) is a work that uses the ryubi(類比) to increase persuasiveness and converts the existing perspective. Muneongyebyeon(文言系辭辨) is a work that attempted to harmonize in the formality of vocabulary, sentence and composition while showing the logical perfection to dismiss the counter-argument's prerequisite. For example, Muneongyebyeon(文言系辭辨) consists of a total of five paragraphs in aspect of composition, each paragraph arranged in good order. In addition, this work presented sequential arguments, used the incremental method which emphasizes the importance of arguments as it moves backward.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.219-240
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• 2018

Sentiment analysis, which is one of the text mining techniques, is a method for extracting subjective content embedded in text documents. Recently, the sentiment analysis methods have been widely used in many fields. As good examples, data-driven surveys are based on analyzing the subjectivity of text data posted by users and market researches are conducted by analyzing users' review posts to quantify users' reputation on a target product. The basic method of sentiment analysis is to use sentiment dictionary (or lexicon), a list of sentiment vocabularies with positive, neutral, or negative semantics. In general, the meaning of many sentiment words is likely to be different across domains. For example, a sentiment word, 'sad' indicates negative meaning in many fields but a movie. In order to perform accurate sentiment analysis, we need to build the sentiment dictionary for a given domain. However, such a method of building the sentiment lexicon is time-consuming and various sentiment vocabularies are not included without the use of general-purpose sentiment lexicon. In order to address this problem, several studies have been carried out to construct the sentiment lexicon suitable for a specific domain based on 'OPEN HANGUL' and 'SentiWordNet', which are general-purpose sentiment lexicons. However, OPEN HANGUL is no longer being serviced and SentiWordNet does not work well because of language difference in the process of converting Korean word into English word. There are restrictions on the use of such general-purpose sentiment lexicons as seed data for building the sentiment lexicon for a specific domain. In this article, we construct 'KNU Korean Sentiment Lexicon (KNU-KSL)', a new general-purpose Korean sentiment dictionary that is more advanced than existing general-purpose lexicons. The proposed dictionary, which is a list of domain-independent sentiment words such as 'thank you', 'worthy', and 'impressed', is built to quickly construct the sentiment dictionary for a target domain. Especially, it constructs sentiment vocabularies by analyzing the glosses contained in Standard Korean Language Dictionary (SKLD) by the following procedures: First, we propose a sentiment classification model based on Bidirectional Long Short-Term Memory (Bi-LSTM). Second, the proposed deep learning model automatically classifies each of glosses to either positive or negative meaning. Third, positive words and phrases are extracted from the glosses classified as positive meaning, while negative words and phrases are extracted from the glosses classified as negative meaning. Our experimental results show that the average accuracy of the proposed sentiment classification model is up to 89.45%. In addition, the sentiment dictionary is more extended using various external sources including SentiWordNet, SenticNet, Emotional Verbs, and Sentiment Lexicon 0603. Furthermore, we add sentiment information about frequently used coined words and emoticons that are used mainly on the Web. The KNU-KSL contains a total of 14,843 sentiment vocabularies, each of which is one of 1-grams, 2-grams, phrases, and sentence patterns. Unlike existing sentiment dictionaries, it is composed of words that are not affected by particular domains. The recent trend on sentiment analysis is to use deep learning technique without sentiment dictionaries. The importance of developing sentiment dictionaries is declined gradually. However, one of recent studies shows that the words in the sentiment dictionary can be used as features of deep learning models, resulting in the sentiment analysis performed with higher accuracy (Teng, Z., 2016). This result indicates that the sentiment dictionary is used not only for sentiment analysis but also as features of deep learning models for improving accuracy. The proposed dictionary can be used as a basic data for constructing the sentiment lexicon of a particular domain and as features of deep learning models. It is also useful to automatically and quickly build large training sets for deep learning models.