• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.223-231
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• 2022

The application of computer software into the linguistic analysis of texts proves useful to arrive at concise and authentic results from large data texts. Based on this assumption, this paper employs a Computer-Aided Text Analysis (CATA) and a Critical Discourse Analysis (CDA) to explore the manipulative strategies of positive/negative presentation in Orwell's Animal Farm. More specifically, the paper attempts to explore the extent to which CATA software represented by the three variables of Frequency Distribution Analysis (FDA), Content Analysis (CA), and Key Word in Context (KWIC) incorporate with CDA decipher the manipulative purposes beyond positive presentation of selfness and negative presentation of otherness in the selected corpus. The analysis covers some CDA strategies, including justification, false statistics, and competency, for positive self-presentation; and accusation, criticism, and the use of ambiguous words for negative other-presentation. With the application of CATA, some words will be analyzed by showing their frequency distribution analysis as well as their contextual environment in the selected text to expose the extent to which they are employed as strategies of positive/negative presentation in the text under investigation. Findings show that CATA software contributes significantly to the linguistic analysis of large data texts. The paper recommends the use and application of the different CATA software in the stylistic and corpus linguistics studies.

• Journal of Information Science Theory and Practice
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• v.3 no.1
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• pp.6-23
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• 2015

This study develops an effective method for sentiment analysis of user-generated content on drug review websites, which has not been investigated extensively compared to other general domains, such as product reviews. A clause-level sentiment analysis algorithm is developed since each sentence can contain multiple clauses discussing multiple aspects of a drug. The method adopts a pure linguistic approach of computing the sentiment orientation (positive, negative, or neutral) of a clause from the prior sentiment scores assigned to words, taking into consideration the grammatical relations and semantic annotation (such as disorder terms) of words in the clause. Experiment results with 2,700 clauses show the effectiveness of the proposed approach, and it performed significantly better than the baseline approaches using a machine learning approach. Various challenging issues were identified and discussed through error analysis. The application of the proposed sentiment analysis approach will be useful not only for patients, but also for drug makers and clinicians to obtain valuable summaries of public opinion. Since sentiment analysis is domain specific, domain knowledge in drug reviews is incorporated into the sentiment analysis algorithm to provide more accurate analysis. In particular, MetaMap is used to map various health and medical terms (such as disease and drug names) to semantic types in the Unified Medical Language System (UMLS) Semantic Network.

• SUVANNABHUMI
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• v.15 no.2
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• pp.91-129
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• 2023

This paper reports the findings of a multimodal study conducted on 10 travel blog posts about Vietnam by seven British professional travel bloggers. The study takes a sociolinguistic view to tourism by seeing travel blogs as a source for linguistic and other semiotic materials while considering language as situated practice for the social construction of fundamental categories such as "human," "society," and "nation." It borrows concepts from Halliday's Systemic Functional Linguistics for interpersonal metafunction to develop an analytical framework to study how the co-occurrence of text and still images in these travel blog posts formulated the portrayal of Vietnam as a tourism destination and indicated the main sociolinguistic features of the blogs. The analysis of appreciation values and interactive qualities encoded in evaluative adjectives and still images show that Vietnam is generally portrayed as a country of identity and diversity. It provides tourists with positive experiences in terms of places of interest, food and local lifestyles and is cost-competitive. Strangerhood and authenticity are two outstanding sociolinguistic features exhibited in these travel blog posts. The findings of this study also underline the co-contribution of the linguistic sign, in this case evaluative adjectives, and the visual sign, in this case still images, as interpersonal meaning-making resources. To portray Vietnam, still images served as integral elements to evidence the credibility of verbal narrations. To unveil sociolinguistic characteristics of travel blogs, still images supported the linguistic realizations of authenticity and strangerhood on the posts, and in some case delivered an even stronger message than words. Not only does the study present a source of feedback from international travelers to tourism practice in Vietnam, but it also provides insights into multimodal analysis of tourism discourse which remains an under-researched area in Vietnam.

• International Journal of Contents
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• v.10 no.4
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• pp.48-52
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• 2014

The purpose of this study was to examine 30 logical connectors in the essay writing of Korean university students for comparison with the use in similar types of native English writing. The main questions addressed were as follows: Do Korean EFL students tend to over- or underuse logical connectors? What types of connectors differentiate Korean learners from native use? To answer these questions, EFL learner data were compared with data from native speakers using computerized corpora and linguistic software tools to speed up the initial stage of the linguistic analysis. The analysis revealed that Korean EFL learners tend to overuse logical connectors in the initial position of the sentence, and that they tend to overuse additive connectors such as 'moreover', 'besides', and 'furthermore', whereas they underuse contrastive connectors such as 'yet' and 'instead'. On the basis of the results of this study, some pedagogical implications are made concerning the need for teaching of the semantic, stylistic, and syntactic behavior of logical connectors.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1529-1532
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• 2007

Failure Mode, Effects, and Criticality Analysis (FMECA) is an extension of FMEA which includes a criticality analysis. The criticality analysis is used to chart the probability of failure modes against the severity of their consequences. The result highlights failure modes with relatively high probability and severity of consequences, allowing remedial effort to be directed where it will produce the greatest value. However, there are several limitations. Measuring severity of failure consequences is subjective and linguistic. Since The result of FMECA only gives qualitative and quantitative informations, it should be re-analysed to prioritize critical units. Fuzzy set theory has been introduced by Lotfi A. Zadeh (1965). It has extended the classical set theory dramatically. Based on fuzzy set theory, fuzzy logic has been developed employing human reasoning process. IF-THEN fuzzy rule based assessment approach can model the expert's decision logic appropriately. Fault tree analysis (FTA) is one of most common fault modeling techniques. It is widely used in many fields practically. In this paper, a simple fault tree analysis is proposed to measure the severity of components. Fuzzy rule based assessment method interprets linguistic variables for determination of critical unit priorities. An rail-way transforming system is analysed to describe the proposed method.

• International Journal of Contents
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• v.15 no.1
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• pp.39-51
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• 2019

Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.

• Journal of the Korean Society of Food Culture
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• v.3 no.2
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• pp.115-124
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• 1988

• English Language & Literature Teaching
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• no.6
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• pp.113-142
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• 2000

In order to obtain a better understanding of L2 learners, transitional knowledges, it is very important and necessary to have a better knowledge of interlanguage. According to Corder, the role of interlanguage in English education holds significance to (1) for language teachers, (2) for language learners themselves, and (3) for language textbook compilers. To me the significance of interlanguage in English education can be described in terms of not only language teachers, learners themselves, textbook writers and compilers but pure linguists, applied linguists, school authorities as well as parents. For language learners themselves a clear understanding of interlanguage results in students being receptive to language input, and the avoidance of mental block, and low levels of foreign language anxiety. Native speakers of English (NSE) reflect not only linguistic features but also psychological, socio-linguistic, and discourse features when engaged in communication activities. This means that L2 learners are introduced to these different features, especially pragmatic features which are different from their mother tongue or L1 when engaged in communication with NSE. Hence the importance of interlanguage pragmatics should be recognized. It is very important that teachers of English should have a better understanding of interlanguage and present L2 learners with their interlanguage features so they can avoid any misunderstandings such features may cause when conversing with NSS. It should also be noted that interlanguage can form the foundation of language acquisition theory and linguistic analysis.

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.62-73
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• 1998

This study focuses on semiotic significance of clothing, showed in visual mass media. This study will look into what general public understand from clothing and what influence clothing on visual mass media exert on fashion. This study employs an example, "Aein(sweetheart)", which was televised from 09/02/1996 till 10/23/1996. Some specialists(master′s degree or doctoral degree holders, or professors) of Clothing and Textile picked and analyzed scenes with specific clothing. The theoretical grounds of the analysis are 1) in what procession the significance operate from the view of mythological symbols by Bart, 2) what influences clothing on TV dramas exert on fashion. The outcomes of the study are followings: First, clothing′s signifying proces hs two dimensions; linguistic dimension and mythological dimension. Linguistic dimension which is regarded as general and unvariable and is related to the reproductive signifying operation, contributes to the creation of the characters including the characters′ social activities, professions, social or economic position. Mythological dimension which is related to the cultural and implicative signifying operation, played an important role in the development of the drama. Thus, it operates to create and deliver images including that atmosphere of he drama and the development of the story. Second, the TV media which is characterized with the form of centralized transmission and individual reception and the ability tro readily lead the fashion, has huge influence upon the fashion by properly creating mythological or linguistic dimension of the clothing in the drama, arousing the public′s sympathy, and stimulating the public′ immitation or conformity mentality.

• Korean Journal of Human Ecology
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• v.18 no.6
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• pp.1221-1235
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• 2009

The purpose of this study is to examine the infant-teacher interaction and its possible effects. The subjects of this study were 24 child-care teachers from Jungup City, Korea. Among them, 12 teachers participated m the program as an experimental group. The program processed 8 sessions in total, a session a week and 90 minutes for each session. The data was collected by questionnaires of infant-teacher interactions and videotapes of their linguistic and behavioral interactions between infants and teachers. The collected data was analyzed by t-tests, wilcoxon signed-rank tests, and video content analysis. As a result, the teachers in the experimental group showed more significant enhancement than teachers in the comparison group in relation to the post-test of positive linguistic interactions between infant and teacher and teacher' positive reaction.