• English Language & Literature Teaching
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• v.7 no.2
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• pp.77-102
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• 2002

Factors affecting foreign language learning task are diverse in nature due to the different social and cultural backgrounds so that learners have to somehow use strategies and expressions to adjust diverse factors to their learning environments. The main purpose of this paper is to show how important NNS vs. NNs interaction through CCDL can be in their enhancement of English proficiency by giving examples from their chatting conversation(written conversation) data collected for over two semesters. Chatting as a means of synchronous communication interaction between students from two different cultural backgrounds can act as a predictor of foreign language achievement. Chatting and Telemeet activities have their own advantages in enhancing communicative competence when learning English. By engaging in these synchronous communication activities learners of English from different cultural backgrounds can acquire unique strategies and expressions from which they learn from each other. In short, this study advocates the importance of strategies and patterns foreign language learners can acquire from interaction among culturally different peer groups.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.348-356
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• 2022

The main objective of this paper is to probe the extent to which misinformation propagated through the different social media platforms contribute effectively in the process of directing, shaping and reshaping societal awareness of Saudis. In so doing, this paper attempts to delve into the relationship between linguistic misinformation and societal awareness, by exploring the perception of Saudis towards social media news, particularly misinformation and the extent to which this misinformation influences the social attitudes of Saudis in terms of various societal issues. Two main research questions are addressed in this study. First, to what extent does social media misinformation affect Saudis' awareness? Second, what are the linguistic manifestations of misinformation presented in the different social platforms? Two main findings have been recorded in this study: first, misinformation significantly contributes to the societal awareness of Saudis; and, second, however misinformation is linguistically manifested at the different levels of linguistic analysis, it is highly representative at the lexicalization level of language use.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.98-103
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• 2024

This paper revisits politeness expressions in English, exploring their linguistic characteristics and the underlying social dynamics they reflect. Grounded in pragmatic theories, politeness is examined as a phenomenon shaped by societal norms, wherein language users navigate the delicate balance between efficiency and maintaining positive social interactions. Through an analysis of various linguistic devices such as modal auxiliary verbs, progressive and past tenses, depersonalization, and the use of hedges, the study elucidates how speakers endeavor to mitigate potential burdens on listeners and foster smoother communication. By understanding and employing these linguistic strategies, English learners can better navigate the nuances of politeness expressions in the English cultural context. This exploration underscores the pivotal role of politeness in interpersonal communication and highlights its significance in facilitating effective interaction among language users.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.212-220
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• 2023

The meticulous figure painting is one of the wonders of traditional Chinese painting and has blossomed in art history with its unique and interesting style. The period from the Warring States period to the Song and Yuan dynasties was a glorious period in its history, after which it tended to decline due to changes in painting materials and many socio-historical reasons. The extensive cultural exchanges in the world today, the penetration of Western values and the expansion of information technology have brought a huge impact on Chinese meticulous figure painting, which has developed an active way of thinking and expression after absorbing certain elements of Western culture and thought on the basis of inherited tradition. Contemporary Realistic Figure painters continue to explore new developments in meticulous figure painting in the contemporary context, and give contemporary meticulous figure painting a new cultural and ideological connotation, forming a new look that meets the requirements of the times, with richer and more lively content, subject matter and formal language. Traditional meticulous figure painting is characterised by a highly refined use of line and coloring composition. Contemporary meticulous figure painting focuses on the use of purely formal language and the expression of the personality of the creative subject, with a new outlook on the world of painting. In the contemporary multicultural context, new formal language and methods of expression are constantly being explored to create a new look. In the process of development, contemporary meticulous figure painting has merged the best qualities of traditional and contemporary culture, making it an art with a subtle language, rich in meaning and with the charm of the times and oriental characteristics. The author in the form of contemporary fine brushwork figure painting language as the research object, explore new form of fine brushwork figure painting, and in the contemporary society and multicultural context factors. Innovation, enrich and develop new forms of art language of contemporary social form and aesthetic temperament and interest.

• Asian Journal for Public Opinion Research
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• v.4 no.3
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• pp.123-165
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• 2017

In this paper, we look at mediation of public policies in different areas of governance. Editorials appearing in an Indian English language newspaper during the period of an intense public debate on the issue of affirmative action in favor of a section of the population, the Other Backward Classes (OBC) - a popular reference to the socially and educationally backward classes of citizens under India's constitution constitute the sample for the study. Apart from editorials on the public policy of reservation of seats in admission to higher education institutions for the OBC, editorials on three other areas of governance, namely, development, economy, and public administration appearing in the same newspaper, are also consulted to understand media framing of social issues and more specifically, issues of social justice. Inductively identifying the various frames used in its editorials by the newspaper, I detect predominant use of 'personalized' frame in respect of editorials pertaining to the policy area of social justice; and distinguish it from the 'generic' frame of 'characterization' found in theory. The study concludes that the sample editorials in respect of other public policies did not use the personalized frame found in editorials on social justice.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.391-406
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• 2015

Social media have emerged as new communication channels between consumers and companies that generate a large volume of unstructured text data. This social media content, which contains consumers' opinions and interests, is recognized as valuable material from which businesses can mine useful information; consequently, many researchers have reported on opinion-mining frameworks, methods, techniques, and tools for business intelligence over various industries. These studies sometimes focused on how to use opinion mining in business fields or emphasized methods of analyzing content to achieve results that are more accurate. They also considered how to visualize the results to ensure easier understanding. However, we found that such approaches are often technically complex and insufficiently user-friendly to help with business decisions and planning. Therefore, in this study we attempt to formulate a more comprehensive and practical methodology to conduct social media opinion mining and apply our methodology to a case study of the oldest instant noodle product in Korea. We also present graphical tools and visualized outputs that include volume and sentiment graphs, time-series graphs, a topic word cloud, a heat map, and a valence tree map with a classification. Our resources are from public-domain social media content such as blogs, forum messages, and news articles that we analyze with natural language processing, statistics, and graphics packages in the freeware R project environment. We believe our methodology and visualization outputs can provide a practical and reliable guide for immediate use, not just in the food industry but other industries as well.

• Journal of English Language & Literature
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• v.57 no.6
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• pp.1131-1149
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• 2011

Michael McKeon, in The Origins of the English Novel, 1600-1740, sets forth a theoretical study of a large canon of seventeenth- and eighteenthcentury works, based upon the dialectic of genre formations, which attempts to analyze certain "instabilities" in generic and social categories- "instabilities" that McKeon identifies as "Questions of Truth" and "Questions of Virtue." In this paper, I argue with McKeon's optimistic reading of Samuel Richardson's work, Clarissa, or The History of Young Lady (1740), which concludes that-unlike Pamela's "manifest material and social empowerment"-Clarissa acquires "manifest discursive and imaginative empowerment" and "wins" (to use McKeon's terms) the "battle" with her antagonist, Robert Lovelace. What is difficult to accept in this reading of Clarissa is McKeon's claim that the "success" of Clarissa's resistance to Lovelace, despite the tragic rape, is evident in her "new-found power" which is represented in the heroine's spiritual "conversion"- her decision to die to protect her "version of truth and virtue." McKeon's spiritual "conversion" not only forces Clarissa to surrender her legal right to prosecute her rapist but also forces her to seek the shelter of her "father's house" in the afterlife because she can no longer "make others accept [her] own version of events as authoritative." Thus, in contrast to McKeon, I claim that Clarissa represents the necessary conditions for its heroine's "empowerment" primarily in language that suggests her manifest social invalidation; language which in particular emphasizes that her rape and torture by Lovelace forces Clarissa's spiritual "conversion" to seek her reward in the afterlife-thereby concluding that Clarissa's discursive and imaginative empowerment does not and cannot exist in the secular, material world.

• Journal of Korean language education
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• v.29 no.3
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• pp.117-144
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• 2018

The purpose of this study is to explore the linguistic elements that can promote academic literacy in terms of content-based instructions for KSL learners. In order to study the characteristics of learning languages for subjects, focus was given to the framework of systematic functional linguistics that has been extensively used in ELL teaching and learning research in the United States and Australia. History, which is taught in all classes and classified as a required course, was the subject of analysis. From the history curriculum, the elementary school level texts "Social Studies 5-2" and "Social Studies 6-1" were chosen for the analysis. Based on the results, we can come to the following conclusions. First, history textbooks are divided into narrative and analytical explanatory sub-genres based on their content, and there are differences in the factors that need to be focused on to find the main information. Second, the vocabulary of history textbooks should focus on the use of verbs which comprehend material processes. Particularly, learners should pay attention to the differences in meaning between low-frequency expressions. We hope that the results of this study will have a positive effect on history subject learning for learners in the "Adaptive Korean Course" and will help establish direction in terms of building curriculum contents for KSL learners.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.