• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.

• Korean Security Journal
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• no.15
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• pp.147-171
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• 2008

This study examines the degrees of criminal investigators' job satisfaction and organizational commitment and investigates which factors determine the variations in them. In the first step of analysis, independent variables of criminal investigators' job satisfaction consist of work itself, achievement, responsibility, safety, stability, interpersonal relations, recognition, supervision, and opportunity of growth. In the second step, job satisfaction is a mediating variable and organizational commitment is a defendant variable. Organizational commitment is classified into three types - "affective", "continuance" and "normative". According to the structural equation model analysis, responsibility has a great influence on job satisfaction, and job satisfaction affects affective commitment and continuance commitment. This study suggests that job satisfaction should be increased to improve criminal investigators' organizational commitment. And responsibility is necessary for the improvement of job satisfaction. Despite the professional detective system operating in Korea since January 1, 2005, the level of criminal investigators' recognitions of safety, stability and opportunity of growth turn out to be low. Based on these findings, this study presents four ways to reform measures which are listed below. First, to improve a! n economical circumstance of criminal investigators, any expense associated with criminal investigation should be paid by organizations. Second, to improve safety of criminal investigators, it is necessary to develop and supply enough police equipments. Third, criminal investigators' working hours should be shorten. Fourth, to improve criminal investigators' responsibilities, criminal investigators should be allowed to conduct criminal investigation independently from the prosecution.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.113-120
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• 2013

The victory of Barack Obama in the presidential reelection, in which he got closer to voters by scientific election strategy based on data, is making a new paradigm of this scientific election mechanism. But it is within bounds to say that Korean election has developed based on emotional confrontation, rather than on the confrontation of policy or personal qualification. This study suggests a Big data-based election campaign strategy in an effort to reduce the harmful consequences of Korean election and to settle down a desirable campaign culture. To do so, this study examines the actual status and problems of Korean politics and election campaign. And then it designs a Korean election strategy model using Big data as an alternative to break through the problems. Last, it discusses the plan to utilize Big data.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.451-462
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• 2009

The aim of this study is to apply latent semantic indexing(LSI) techniques for efficient automatic classification of opinionated documents. For the experiments, we collected 1,000 opinionated documents such as reviews and news, with 500 among them labelled as positive documents and the remaining 500 as negative. In this study, sets of content words and sentiment words were extracted using a POS tagger in order to identify the optimal feature set in opinion classification. Findings addressed that it was more effective to employ LSI techniques than using a term indexing method in sentiment classification. The best performance was achieved by a supervised LSI technique.

• The Korean Journal of Elementary Counseling
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• v.10 no.1
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• pp.39-56
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• 2011

The purpose of this study is to draw the elements of encouraging language from the literatures of encouragement and develop the encouraging language model for elementary school teachers. To achieve this, first of all, the literatures about the methods of encouragement were collected. And then the collected literatures were categorized according to the main concept which each literature contained. As a result, 5 categories and 17 subcategories were drawn. 5 categories were valuing a child as a human-being itself, trusting a child, thinking rationally about a child's mistakes, giving a feedback about a child's behaviors non-evaluatively, and reflecting a child's positive feeling. These 5 categories were established as the elements of encouraging language. The encouraging language model was developed on the bases of the 5 elements of encouraging language. The model was constructed of the examples of encouraging language in various classroom situations. The model contains various situations which elementary school teachers often confront in their classrooms. And the model shows the examples of encouraging language proper for each situation. Every example was constructed on the bases of the elements of encouraging language.

• Sim-seong Yeon-gu
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• v.33 no.1
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• pp.1-60
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• 2018

The paper was inspired by Jung's words in the Red Book "just as Christ tormented the flesh through the spirit, the God of this time will torment the spirit through the flesh." I propose that the new form of torment in this era could be eroticism as a way of the individuation process because it seems to be one of a very few ways left to modern men to grasp the sense of permanence, the essence of the divine, without religion because of its peculiar nature of transcendence. I suppose that it is not only a man who is tortured but also god is in torment since the divine needs a man as a womb for his incarnation. Therefore I suggest that man and god are fated to seduce each other to be redeemed by each other. I imagine that Eros with numinous sexuality seduces a man who has potentials for the god's incarnation and who would be willing to give in to the god's demand. This god needs a man who desires his essence of perpetuity, the eternal water of life, in ecstasy. Thus the purpose of the divine's seduction is to make a man awake from unconsciousness to pursue god himself, namely the individuation process. I call such divine seduction "eroticism of god" There seem to be a certain type of people who are destined to live eroticism as a way of individuation process. Through investigations, a melancholic tendency appears to be suitable for this type of individuation. Melancholia is deeply related to the poignant awareness of impermanence as the existential condition, which is a precondition for seeking permanence through eroticism. Melancholia essentially causes deep longing for eternity that bears fulfillment, which exists in eroticism, so melancholic agony seems inevitable for eroticism as the path for individuation in that, without knowing about deficiency, we never seek what is lacking in us. It can also be viewed that while a lover is driven to seduce lost love, what actually waits to become seduced for redemption is the god of love itself behind the human beloved. Man and god are fated to seduce each other for redemption. I suppose that the initiation to Eros implies how to seduce Eros. In a woman's psyche, psychological virginity is one of the essential qualities that her ego needs to attain. To the male it is vital to live his sensuality thoroughly and to experience his own and his lover's emotions to their limit. It cannot be an easy task because it demands us to give up our egotism entirely. Through eroticism, unconsciousness seduces us to make us live life as a whole. The god of love brings powerful sexuality as a means of "spiritual crisis" to redeem our lukewarm soul. Only a few can withstand the experience since it requires a strong will to bear the brunt of the sword despite the keen awareness that it may leave us bleeding in pain.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.163-176
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• 2014

Social media is becoming the platform for users to communicate their activities, status, emotions, and experiences to other people. In recent years, microblogs, such as Twitter, have gained in popularity because of its ease of use, speed, and reach. Compared to a conventional web blog, a microblog lowers users' efforts and investment for content generation by recommending shorter posts. There has been a lot research into capturing the social phenomena and analyzing the chatter of microblogs. However, measuring television ratings has been given little attention so far. Currently, the most common method to measure TV ratings uses an electronic metering device installed in a small number of sampled households. Microblogs allow users to post short messages, share daily updates, and conveniently keep in touch. In a similar way, microblog users are interacting with each other while watching television or movies, or visiting a new place. In order to measure TV ratings, some features are significant during certain hours of the day, or days of the week, whereas these same features are meaningless during other time periods. Thus, the importance of features can change during the day, and a model capturing the time sensitive relevance is required to estimate TV ratings. Therefore, modeling time-related characteristics of features should be a key when measuring the TV ratings through microblogs. We show that capturing time-dependency of features in measuring TV ratings is vitally necessary for improving their accuracy. To explore the relationship between the content of microblogs and TV ratings, we collected Twitter data using the Get Search component of the Twitter REST API from January 2013 to October 2013. There are about 300 thousand posts in our data set for the experiment. After excluding data such as adverting or promoted tweets, we selected 149 thousand tweets for analysis. The number of tweets reaches its maximum level on the broadcasting day and increases rapidly around the broadcasting time. This result is stems from the characteristics of the public channel, which broadcasts the program at the predetermined time. From our analysis, we find that count-based features such as the number of tweets or retweets have a low correlation with TV ratings. This result implies that a simple tweet rate does not reflect the satisfaction or response to the TV programs. Content-based features extracted from the content of tweets have a relatively high correlation with TV ratings. Further, some emoticons or newly coined words that are not tagged in the morpheme extraction process have a strong relationship with TV ratings. We find that there is a time-dependency in the correlation of features between the before and after broadcasting time. Since the TV program is broadcast at the predetermined time regularly, users post tweets expressing their expectation for the program or disappointment over not being able to watch the program. The highly correlated features before the broadcast are different from the features after broadcasting. This result explains that the relevance of words with TV programs can change according to the time of the tweets. Among the 336 words that fulfill the minimum requirements for candidate features, 145 words have the highest correlation before the broadcasting time, whereas 68 words reach the highest correlation after broadcasting. Interestingly, some words that express the impossibility of watching the program show a high relevance, despite containing a negative meaning. Understanding the time-dependency of features can be helpful in improving the accuracy of TV ratings measurement. This research contributes a basis to estimate the response to or satisfaction with the broadcasted programs using the time dependency of words in Twitter chatter. More research is needed to refine the methodology for predicting or measuring TV ratings.

• Korean Security Journal
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• no.19
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• pp.43-66
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• 2009

For the quality improvement on private security industry, the quality of personnel in private security should be advanced through the systematic training. If the personnel in private security provide an advanced service in applying knowledge and technique to the field when in training, they can obtain the reliability from people. With the point of this side, practical and systematic training is essential to the restoration on the private security industry. The personnel of private security face many people in the field. So they must work with an active concept that can prevent additional crime from behavior suspicions through scientific observation method and systematic inquiry method rather than negative work with providing a friendly service in the field. For conducting this concept, therefore, this study suggested the improvement training program of "Question and Research Guides" from new employee training on existing private security. The scientific observation standard is specifically suggested from the study 'people watching' of Professor Morris, D. and an act contact question from lead technique that US FBI, police, and inspection institute are taking through the feature of human act and 'METT' that is the program for emotion capture training through human minute look is going to be applied on "Question and Research Guides" training. This will provide the educational mood for students with the training content that is available for the practical training program and the real work, and will help to restore the private security industry with obtaining people's reliability through the scientific work and advanced field treatment.

• Sijohaknonchong
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• v.30
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• pp.219-240
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• 2009

Jasan An Whak did research on the essence of Sijo to show that Sijo has some features as a literature. I tried to show the formation process of Sijo theory in 1930s through Jasan's Sijo theory. As a preparatory step for it, I introduced Jasan's Sijo theory released in early 1930s and examined the characteristic aspects of it. Jasan recognized a literature as a directing post that reveals the history of our national spirit. He thought a literature as a foundation for satisfying new age. Also, he recognized the essence of a literature as a emotional expression. He emphasized that a new literature in Joseon age should have not only particularity of Joseon literature but also universality of modern literature. Jasan studied style of Sijo. Because he was at the time of modernization, he used the term, 'style', instead of 'poongkyeok', which had used before modern time. He tried to show linguistic artistry of Sijo through the series of his works about the style of Sijo. Jasan tried to find formal beauty of Sijo in the aspect of rhythm instead of rhyme. And he claimed that poetic words can be lengthened or shortened to be harmonious with the melody of Sijo. In other words, it is possible to change the words of Sijo for harmonizing with a tune. Jasan recognized that the words of Sijo have a musical function as well as a semantic function.

• Korean Educational Research Journal
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• v.42 no.1
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• pp.35-72
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• 2021

This study is to form develops an effective teaching method centered on the Korean "symbol adverb + predicate" type, helping Chinese students to learn Korean to communicate more accurately when expressing detailed complex feelings and various emotions.Manyforeignlanguage learners try to memorize individual words when they acquire the new vocabulary, this may lead to a problematic in that they cannot use Korean vocabulary accurately and naturally because they do not value the combination of vocabulary words. Since symbolic adverbs are not used in isolation and being frequently used with certain vocabulary words, it is more effective to teach them in the form of instruct learners using "symbol adverb + predicate" forms rather than individual vocabulary words. Accordingly, this research considers a particular vocabulary following symbolic adverbs or vocabulary groups with common semantic qualities that could be frequently introduced. Seven Korean language textbooks used by university in domestic Korea and China are compared and analyzed to reveal the aspects of differences in the use of descriptive words after symbolic adverbs. Finally, based on the textbook analysis results, the government propose a plan to improve the Korean "symbol adverb + predicate" type for Chinese learners. However, this study was limit to being unable to present specific educational measures for Chinese learners in the form of "symbol adverb + predicate". This is expected to complement the limitations of this study in subsequent studies, and lead to more specific discussions.