• Smart Media Journal
• /
• v.9 no.3
• /
• pp.98-106
• /
• 2020

Currently, as Internet users increase, the use of swearword is indiscriminately increasing. As a result, cyber violence among teenagers is increasing very seriously, and among them, cyber-language violence is the most serious. In order to eradicate cyber-language violence, research on detection of swearword has been conducted, but the method of detecting swearword by looking at the meaning of words and the flow of context is insufficient. Therefore,in this paper,we propose a method of detecting swearword using FastText model and LSTM model so that deliberately modified swearword and standard language can be accurately detected by looking at the flow of context.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.12
• /
• pp.1800-1808
• /
• 2022

During the election period, many polling agencies survey and distribute the approval ratings for each candidate. In the past, public opinion was expressed through the Internet, mobile SNS, or community, although in the past, people had no choice but to survey the approval rating by relying on opinion polls. Therefore, if the public opinion expressed on the Internet is understood through natural language analysis, it is possible to determine the candidate's approval rate as accurately as the result of the opinion poll. Therefore, this paper proposes a method of inferring the approval rate of candidates during the election period by synthesizing the political comments of users through internet community posting data. In order to analyze the approval rate in the post, I would like to suggest a method for generating the model that has the highest correlation with the actual opinion poll by using the KoBert, KcBert, and KoELECTRA models.

• English Language & Literature Teaching
• /
• v.8 no.2
• /
• pp.151-176
• /
• 2003

Motivation and learning strategies, some of the important factors affecting language learning, have mostly been studied with reference to their relationship in terms of proficiency. This study investigated motivation and learning strategies and their relationship in order to find the inward predisposition of learners. Data was collected from 200 university students in Taejon and Chungnam province, Korea language learning strategies were measured by the Strategy Inventory for Language Learning(SILL), and motivation by the Attitude / Motivation Test Battery(AMTB), with adaptations for Koreans. The detailed analysis of the data Indicated that Korean university students were more motivated to learn English for a practical goal than a formal one. They had a strong willingness to learn but showed 'the tendency of the new generation' of choosing the easiest and most convenient ways in studying English in terms of motivational intensity and strategy use. Findings imply that there have to be some changes and improvements in the deep-rooted classroom teaching methods. A systematic device is needed to induce students to be autonomous learners, providing them with a variety of activities suitable for their purposes and levels, as in opportunities of contacting native speakers, multi-media language labs, the Internet etc.

• Journal of Information Technology Services
• /
• v.11 no.1
• /
• pp.305-323
• /
• 2012

This study examines online social media diffusion across different countries that will help to provide a picture of current global online social network services (SNSs). Analyzing country-level data drawn from 78 nations, we find that non-technological factors such as culture and language as well as technological factors including Internet penetration rate and smartphone adoption rate have significant effects on online social media diffusion. These findings, derived from a broad range of different countries, not only provide theoretical insights into understanding critical factors that enable successful global expansion of online social media services but also help practitioners plan their marketing strategies more effectively in a global context.

• International journal of advanced smart convergence
• /
• v.8 no.1
• /
• pp.126-132
• /
• 2019

Creative thinking appears even before it is expressed in language, and its existence is revealed through emotion, intuition, image and body feeling before logic or linguistics rules work. In this study, Lego is intended to present experimental child interactive content that is applied with a computer vision based on image processing techniques. In the case of infants, the main purpose of this content is the development of hand muscles and the ability to implement imagination. The purpose of the analysis algorithm of the OpenCV library and the image processing using the 'VVVV' that is implemented as a 'Node' in the midst of perceptual changes in image processing technology that are representative of object recognition, and the objective is to use a webcam to film, recognize, derive results that match the analysis and produce interactive content that is completed by the user participating. Research shows what Lego children have made, and children can create things themselves and develop creativity. Furthermore, we expect to be able to infer a diverse and individualistic person's thinking based on more data.

• English Language & Literature Teaching
• /
• v.8 no.1
• /
• pp.69-84
• /
• 2002

This is a work-in progress paper which the researcher is working with an English teacher in Waseda University in Japan. We started the same project in the year of 2001. This is a replication of the previous paper about the exchange project with Waseda University students. The exchange program with Waseda University students encouraged Howon University students in various ways. In this paper, the researcher also tried to show how to use authentic materials from the internet, TV, magazines and other resources of mass media. Using those materials were helpful to the students to improve their English ability. The result of this study will give positive impact to further studies.

• International journal of advanced smart convergence
• /
• v.8 no.1
• /
• pp.176-183
• /
• 2019

Rhyme of Truce is an educational program that helps you develop the ability to cope with cyber violence rightly. we aim to produce educational contents that will last a long time in the memory of specially children. By combining the room escape game and Leap motion / VR, the program reflects the user's motion and action in real time. The Keyboard Worrier comes into contact with the user and causes violence, and the user who is attacked by the monster see several negative messages written in red and hears abuses sound. Users enter the virtual space decorated as the cyber world. They can experience cyber-violence indirectly but vividly, and if language violence, which has been overlooked and recognized only as "letters", is executed offline, it will directly wonder if cyber-violence should also be regarded as a means of violence. Users have the opportunity to cope with violence autonomously. When a user is attacked by an in-game monster, there are two ways to choose from. First, fighting against with a keyboard (which is a symbol of language violence) just like a monster. Second, report the abuser to cyber bureau police. Both methods make them to escape the room, but when they get out of the room and return to the home and read the message through the monitor, users can recognize which action was right for.

• Journal of the Korean Home Economics Association
• /
• v.46 no.10
• /
• pp.133-146
• /
• 2008

This study investgates the factors influencing the levels of consumer satisfaction and life satisfaction of resident foreigners in Korea. The data were collected through a structured self-administered survey and 545 foreigners who lived in Korea for more than 3 months, with age over 20 participated as respondents. A research framework was formulated based on the resource constraint hypothesis and the study investigated the impact of information resource(human, media and internet information source) and consumer resource(monthly income, language ability and consumer proficiency) on the levels of consumer satisfaction and life satisfaction. The results from data analysis can be summarized as follows; First, analysis of consumer problems of resident foreigners in Korea indicated that resident foreigners recognize a burden for residence cost, food expense and education fee. Most of resident foreigners in Korea are found to use small local shops most often indicating they may experience adverse market environment due to resource constraint such as language or psychological barrier, and most of the respondents answered that the most often used payment method was cash. Furthermore, resident foreigners in Korea responded that lack of language service, lack of information provision, inability to use certain goods and services are the common cause of consumer dissatisfaction, as well as price and quality problems. Second, the level of consumer satisfaction (2.96 in 4.0) is higher than the level of life satisfaction (2.63 in 4.0). Third, the level of life satisfaction is significantly influenced by Korean language ability and the level of consumer satisfaction. The level of consumer satisfaction is by the media information source usage and consumer claim experience. Fourth, the level of consumer satisfaction is found to be the variable with the strongest causal relationship with the level of life satisfaction.

• ETRI Journal
• /
• v.43 no.6
• /
• pp.1049-1057
• /
• 2021

Automatic spacing in Korean is used to correct spacing units in a given input sentence. The demand for automatic spacing has been increasing owing to frequent incorrect spacing in recent media, such as the Internet and mobile networks. Therefore, herein, we propose a transformer encoder that reads a sentence bidirectionally and can be pretrained using an out-of-task corpus. Notably, our model exhibited the highest character accuracy (98.42%) among the existing automatic spacing models for Korean. We experimentally validated the effectiveness of bidirectional encoding and pretraining for automatic spacing in Korean. Moreover, we conclude that pretraining is more important than fine-tuning and data size.

• 중국학논총
• /
• no.71
• /
• pp.41-59
• /
• 2021

With the progress of social economy and science and technology, network media technology has developed rapidly, China has ushered in the network information age, and the network buzzwords emerged to reflect the interaction and influence between language and society. The network buzzwords of "X+ ren "indirectly show the social psychology and value orientation of modern people with their unique structural characteristics, semantic connotation and cultural deposits, and so on. Based on this, we have conducted a multi-angle investigation on the network buzzwords "X+ ren". This paper first analyzes the structure types and syntactic functions of the lexical model of "X+ ren ", then makes a semantic analysis of the lexical model of "X+ Ren ", and finally investigates the causes and influences of the popularity of "X+ ren ". Through the investigation, we believe that "X+ ren "will continue to grow, and "X+ ren" will continue to attract the attention of the academic community.