• Korean Journal of Child Studies
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• v.33 no.6
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• pp.35-49
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• 2012

The purpose of this study was to investigate the relationship between covert/overt narcissism, self-control, and peers' vulgar slang use and school aged boys' and girls' vulgar slang use. The subjects consisted of 263 boys and 256 girls in the 5th and 6th grades attending elementary schools located in Daegu and Gyeongbuk Province. The data collected were analyzed by means of t-test, paired t-test, Pearson's correlation, simple regression, multiple regression, using the SPSS Win 19.0. The results were as follows. 1) School aged boys' and girls' vulgar slang was found to positively associated with covert/overt narcissism. 2) School aged boys' and girls' vulgar slang use was found to be negatively associated with self-control. 3) School aged boys' and girls' vulgar slang use was found to be positively associated with peers' vulgar slang use 4) Among the variables of covert/overt narcissism, self-control, and peers' vulgar slang use, peers' vulgar slang use was the best predictor for school aged boys' and girls' vulgar slang use.

• Cross-Cultural Studies
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• v.31
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• pp.241-262
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• 2013

In this study, we select and analyze the slang that is represented in Elistratov's "Dictionary of Russian slang". Through the above analysis, some conclusions were drawn as follows: First, as a social and psychological phenomenon appears universal in all languages, the study of slang generates strict criteria for the analysis. Unlike literary language, listed in the dictionary slang expressions can become obsolete for their short period of usage by native speakers. Therefore, in the following research of the actual data, we have to validate words targeted for analysis. Second, as the result of the analysis it is metaphor for the most part studied rather than metonymy. The semantic derivations as a result of metonymy are used very frequently in real life. But in this study we mainly analyze words, therefore the number of words was less in metonymy than was expected. Third, the basic types of metaphor are appeared as similarity by form, function, and location, and there are varieties of intervening of subjectivity in similarity of emotional impression. Fourth, the metonymy is divided into three cases: the part meaning the whole, the whole meaning the part, and some thing meaning the reality of where it exists. Fifth, not only literary language, but also slang as the 'transitional process' is the most active way of development of new meanings, and there are two methods to transfer main meaning to second meaning.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.47-52
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• 2012

Today the Internet is being used in all areas. However, part of everyday life, the lack of ethics on the Internet, the Internet lies in state. Especially the youth, should exploit the anonymity. As a result, has caused many problems. Fps online game from young people enjoy the use of profanity and slang, and increasing the damage of cyber violence has also increased. The damage type of cyber violence, abusive and slang, and the age, the lower the investigation was to increase the damage. Lot of publicity and public service advertising is in progress in order to prevent problems, but its expected effects is lacking. In addition, using abusive and slang words, This is a fundamental and provide a service to handle deleted or blinds, but if you can not see the solution. In this paper suggests the language convert that can be applied to Fps online games. Language the conversion process, if applicable to the game, the abusive and slang language, helps to purify. Proposed language the conversion process is expected to reduce cyber violence used abusive and slang.

• Journal of Society of Preventive Korean Medicine
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• v.18 no.1
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• pp.103-111
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• 2014

Objective : Understanding the state of sanitation policy during the period of Japanese colonization of Korea. Method : Analyze 'Slang on hygiene practices' found in Korean medical journal "ChoSunEuiHakGye" that published in the period of Japanese colonization. And analyze articles that were same theme. Results : Japanese colonial policy regards the colony people's old adage of health as outrageous things. Japanese colonial police demands don't use old adage of health because it is obstruction to colonial hygiene policy. Conclusion : The Japanese occupation health administration led by the Japanese police considered Korean people as significant. And they regarded old adage of health as harmful habits. In addition, the knowledge derived from traditional Korean medicine was turned away outrageous things. Traditional Korean medicine knowledge lost the chance of renewal.

• Cross-Cultural Studies
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• v.23
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• pp.321-349
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• 2011

The purpose of this study is to examine slangs used in contemporary Russian. In any kind of social group, there are special jargons used to satisfy special needs of verbal communication and express individual affiliation compared with neighboring parties, apart from standard languages popularized in each society. Some of these jargons belong to a category of common usual language, while others are temporarily popularized but disappear. It is undeniable that these languages are a product of our social language phenomena in addition to the presence of standard language. Thus, it is very essential to investigate and understand these linguistic phenomena as well as standard languages. In this study, Chapter 1 examines the definition of slang as one of most important topic with a view to achieve desired goals hereof. Next, Chapter 2 sets the scope of subjects for this study. Chapter 3 subdivides subjects into each group by topic for analysis within the scope as set in the previous chapter. This analysis gives a basis on which we can understand linguistic phenomena and identify any psychological conditions of people who use languages. This study comes to its conclusions with summary of findings from data collection and analysis.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.133-140
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• 2020

Emotional analysis is an application of opinion mining that analyzes opinions and tendencies of people appearing in unstructured text. Recently, emotional analysis of social media has attracted attention, but social media contains newly-created words and slang, so it is not easy to analyze with existing emotional analysis. In this study, I design a new emotional analysis system to solve these problems. The proposed system is possible to analyze various emotions as well as positive and negative in social media including newly-created words and slang. First, I collect newly-created words and slang related to emotions that appear in social media. Then, expand the existing emotional model and use it to quantify the degree of sentiment in emotional words. Also, a new sentiment dictionary is constructed by reflecting the degree of sentiment. Finally, I design an emotional analysis system that applies an sentiment dictionary that includes newly-created words and an extended emotional model.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.294-300
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• 2021

The current society relies upon social media on an everyday basis, which contributes to finding which of the following supervised machine learning algorithms used in sentiment analysis have higher accuracy in detecting Malay internet slang and short forms which can be offensive to a person. This paper is to determine which of the algorithms chosen in supervised machine learning with higher accuracy in detecting internet slang and short forms. To analyze the results of the supervised machine learning classifiers, we have chosen two types of datasets, one is political topic-based, and another same set but is mixed with 50 tweets per targeted keyword. The datasets are then manually labelled positive and negative, before separating the 275 tweets into training and testing sets. Naïve Bayes and Random Forest classifiers are then analyzed and evaluated from their performances. Our experiment results show that Random Forest is a better classifier compared to Naïve Bayes.

• Annual Conference of KIPS
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• 2001.10b
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• pp.1075-1078
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• 2001

현재까지 게시판의 비속어 처리프로그램은 비속어를 발견하면 입력을 할 수 없도록 차단하는 차단식 프로그램이었다. 이런 프로그램은 사이버 상의 의사표현의 자유를 차단한다. 또한 어떤 단어의 경우는 비속어가 아닌데도 차단되어 입력을 원천봉쇄하기도 한다. 그래서 비속어를 차단하지 않고 처리해 주며 신생 비속어도 처리를 쉽게 해 주며 검출에 유연성을 제공하는 프로그램이 필요하다. 본 논문에서는 데이터베이스 상에서 구현된 게시판을 대상으로 비차단식, 유연성이 있는 비속어 추출 프로그램을 설계하고 구현하였다.

• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1286-1295
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• 2014

This paper suggests the way that it could improve the reliability about preference of user's feedback by adding weighting factor on sentiment analysis, and efficiently make a sentiment analysis of users' emotional perspective on the big data massively generated on twitter. To solve errors on earlier studies, this paper has improved recall and precision of sensibility determination by using sensibility dictionary subdivided sentiment polarity based on the level of sensibility and given impotance to sensibility determination by populating slang, new words, emoticons and idiomatic expressions not in the system dictionary. It has considered the context through conjunctive adverbs fixed in korean characteristics which are free to the word order. It also recognize sensibility words such as TF(Term Frequency), RT(Retweet), Follower which are weighting factors of preference and has increased reliability of preference analysis considering weight on 'a very emotional tweet', 'a recognised tweet from users' and 'a tweeter influencer'

• Journal of the Korea Society of Computer and Information
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• v.24 no.7
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• pp.9-17
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• 2019

As the artificial intelligence technology has developed recently, researches on chatbots that provide information and contents desired by users through an interactive interface have become active. Since chatbots require a variety of natural language processing technology and domain knowledge including typos and slang, it is currently limited to develop chatbots that can carry on daily conversations in a general-purpose domain. In this study, we propose an artificial intelligence chatbot that can provide real-time public traffic information and route information. The proposed chatbot has an advantage that it can understand the intention and requirements of the user through the conversation on the messenger platform without map application.