• Title/Summary/Keyword: Contextual Sense

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Factors Affecting Members' Sense of Belonging in Virtual Community (가상커뮤니티에서의 구성원 소속감에 영향을 미치는 요인)

  • Lee, Kook-Yong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.35 no.1
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    • pp.19-45
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    • 2010
  • Virtual Communities, which are formed on the Internet, are expected to serve the needs of members for e-collaboration, e-communication, information and knowledge sharing. The executives of organizations should consider virtual community as a new innovation or knowledge pool since members share knowledge. However, many virtual community have failed due to members' low willingness to engage and furthermore to share knowledge with other members. Thus, there is a need to understand and foster the determinants of members' sense of belonging behavior in virtual community. This study develops an integrated model designed to investigate and explain the relationships between contextual factors, personal perceptions of virtual community, usability, trust and sense of belonging in using a certain virtual community. Empirical data was collected from 201 and tested using structural equation modeling (SEM) to verify the fit of the hypothetical model. The results show that the perceived usability and community trust of members significantly influences sense of belonging in using the virtual community, and information quality, system quality, familiarity on the virtual community are significantly influence the usability but not reputation. And I confirmed that perceived shared vision and responsiveness play the role of determinants in making the member's trust, perceived risk influence the making community trust in directly. The results of the study can be used to identify the motivation underlying members' sense of belonging in a certain virtual community by investigating the impacts of contextual factors and personal perceptions on virtual community, the integrated model better explains behavior than other proposed models. This study might help executives of virtual communities and organizations to manage and promote these determinants of sense of belonging to stimulate members' willingness to engage the community and futhermore enhance their virtual community loyalty.

An Improved Approach to Ranking Web Documents

  • Gupta, Pooja;Singh, Sandeep K.;Yadav, Divakar;Sharma, A.K.
    • Journal of Information Processing Systems
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    • v.9 no.2
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    • pp.217-236
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    • 2013
  • Ranking thousands of web documents so that they are matched in response to a user query is really a challenging task. For this purpose, search engines use different ranking mechanisms on apparently related resultant web documents to decide the order in which documents should be displayed. Existing ranking mechanisms decide on the order of a web page based on the amount and popularity of the links pointed to and emerging from it. Sometime search engines result in placing less relevant documents in the top positions in response to a user query. There is a strong need to improve the ranking strategy. In this paper, a novel ranking mechanism is being proposed to rank the web documents that consider both the HTML structure of a page and the contextual senses of keywords that are present within it and its back-links. The approach has been tested on data sets of URLs and on their back-links in relation to different topics. The experimental result shows that the overall search results, in response to user queries, are improved. The ordering of the links that have been obtained is compared with the ordering that has been done by using the page rank score. The results obtained thereafter shows that the proposed mechanism contextually puts more related web pages in the top order, as compared to the page rank score.

The Textbook Analysis on Probability: The Case of Korea, Malaysia and U.S. Textbooks

  • Han, Sun-Young;Rosli, Roslinda;Capraro, Robert M.;Capraro, Mary M.
    • Research in Mathematical Education
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    • v.15 no.2
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    • pp.127-140
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    • 2011
  • "Statistical literacy" is important to be an effective citizen ([Gal, I. (2005). Towards "probability literacy" for all citizens: Building blocks and instructional dilemmas. In: G. A. Jones (Ed.), Exploring probability in school: Challenges for teaching and learning (pp. 39-63). New York: Springer]). Probability and statistics has been connected with real context and can be used to stimulate students' creative abilities. This study aims at identifying the extent that textbooks in three countries include experimental probability concepts and non-routine, open-ended, application and contextual problems. How well textbooks reflect real application situations is important in the sense that students can employ probability concepts when solving real world problems. Results showed that three textbook series did not mention experimental probability. Furthermore, all of text-books had more routine, close-ended, knowing, and non-contextual problems.

A Study on the Presentation of Grammar in the Korean Textbook for Korean Language Learners Based on the Discourse and Context (외국인 학습자용 한국어 문법 교재의 문법 제시 방안 연구 - 담화·맥락 정보를 중심으로 -)

  • Jung, Mijin
    • Journal of Korean language education
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    • v.23 no.1
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    • pp.307-329
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    • 2012
  • The purpose of this study is to examine the presentation of Korean grammar on the Korean grammar textbooks for foreigners. Through the results, this study suggests some examples of grammar based on the discourse and context. Since the communicative approach received much attention, some Korean language forms have been researched in the discourse and context. In that sense, we need to survey the grammars presented in the grammar textbooks. The expressions of Korean epistemic modality and discourse function, ('-지요, -잖아(요), -군요', '-기는 하다') in the grammar textbooks have been analyzed. These expressions need to be described with much contextual and situational information and presented in the discourse. However it is a little insufficient to supply a proper amount of information for Korean language learners. To overcome the deficiency, this study presents some situational and contextual information of certain language forms.

A Basic Study on Development of Residents Emotion Index in Apartment Community (아파트 커뮤니티에서의 거주자 감정지표 개발에 관한 기초 연구)

  • Park, Ji-Hye;Cho, Sung-Heui
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2011.04a
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    • pp.247-250
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    • 2011
  • The purpose of this study suggests the emotion of residents as indexes in Korean housing environment for providing a fundamental guideline for precise dwelling social science and indicating the view for understanding of residents in korean housing culture in korea. So this paper explores the role of residents emotion indexes in housing environment and community. For this study, survey and depth-interview methods were used for data collection. The subjects were 514 housewives living in apartments. The statistical methods for data analysis were frequency, mean, multiple linear regression and logistic regression analysis using the SPSS 18.0 program The major findings are as follows: 1)Pride of neighborhood, pride of apartment complex and sense of superiority were important factors for residental satisfaction. 2)Conspicuous image of neighbors and active contact with neighbors were import factors for their neighborship in the apartment complex. The results develop the housing environment evaluation indexes in community through the contextual understanding of space emotion society.

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A Framework for Semantic Interpretation of Noun Compounds Using Tratz Model and Binary Features

  • Zaeri, Ahmad;Nematbakhsh, Mohammad Ali
    • ETRI Journal
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    • v.34 no.5
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    • pp.743-752
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    • 2012
  • Semantic interpretation of the relationship between noun compound (NC) elements has been a challenging issue due to the lack of contextual information, the unbounded number of combinations, and the absence of a universally accepted system for the categorization. The current models require a huge corpus of data to extract contextual information, which limits their usage in many situations. In this paper, a new semantic relations interpreter for NCs based on novel lightweight binary features is proposed. Some of the binary features used are novel. In addition, the interpreter uses a new feature selection method. By developing these new features and techniques, the proposed method removes the need for any huge corpuses. Implementing this method using a modular and plugin-based framework, and by training it using the largest and the most current fine-grained data set, shows that the accuracy is better than that of previously reported upon methods that utilize large corpuses. This improvement in accuracy and the provision of superior efficiency is achieved not only by improving the old features with such techniques as semantic scattering and sense collocation, but also by using various novel features and classifier max entropy. That the accuracy of the max entropy classifier is higher compared to that of other classifiers, such as a support vector machine, a Na$\ddot{i}$ve Bayes, and a decision tree, is also shown.

Design and Implementation of the Smart AR System based on Contextual UX for Expansion of the Interaction (상호작용 확장을 위한 상황적 UX 기반의 스마트 증강현실 시스템 설계 및 구현)

  • Lee, Hye-Mi;Ryu, Nam-Hoon;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.2
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    • pp.439-445
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    • 2012
  • IT convergence technology is gradually becoming anthropocentric and evolving based on the low-carbon green growth. Augmented reality technique is a contents convergence technology that can mix virtual objects while maintaining a sense of the real world. For that reason, interaction between user and system is possible, can make various applications, and has a high possibility for expandability. To expand the scope of existing interaction, this paper suggests contextual UX-based augmented reality system. It is a system which creates virtual objects that respond to the changes in the real world environment, and users can directly apply their personal preferences to virtual objects. Also, several virtual objects can be registered all at once, and even shows animations corresponding to either day and night according to the brightness of illumination. As said, it improves user's satisfaction through a system of mixed usability, and leads to a continuous use of augmented reality contents.

Emotion Analysis Using a Bidirectional LSTM for Word Sense Disambiguation (양방향 LSTM을 적용한 단어의미 중의성 해소 감정분석)

  • Ki, Ho-Yeon;Shin, Kyung-shik
    • The Journal of Bigdata
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    • v.5 no.1
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    • pp.197-208
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    • 2020
  • Lexical ambiguity means that a word can be interpreted as two or more meanings, such as homonym and polysemy, and there are many cases of word sense ambiguation in words expressing emotions. In terms of projecting human psychology, these words convey specific and rich contexts, resulting in lexical ambiguity. In this study, we propose an emotional classification model that disambiguate word sense using bidirectional LSTM. It is based on the assumption that if the information of the surrounding context is fully reflected, the problem of lexical ambiguity can be solved and the emotions that the sentence wants to express can be expressed as one. Bidirectional LSTM is an algorithm that is frequently used in the field of natural language processing research requiring contextual information and is also intended to be used in this study to learn context. GloVe embedding is used as the embedding layer of this research model, and the performance of this model was verified compared to the model applied with LSTM and RNN algorithms. Such a framework could contribute to various fields, including marketing, which could connect the emotions of SNS users to their desire for consumption.

Defining Dusun Identity in Brunei

  • Kumpoh, Asiyah az-Zahra Ahmad
    • SUVANNABHUMI
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    • v.8 no.2
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    • pp.131-159
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    • 2016
  • This qualitative study was designed to explore the definition of ethnic identity of the Dusuns in Brunei Darussalam from the perspective of Shamsul A.B.'s (1996) "everyday-defined" social reality. The purpose of this study was twofold. Firstly, by employing Phinney's (1996) formulation of ethnic identity, this study examined the existence of core components of ethnic identity, namely, ethnic self-identification, ethnic involvement, positive attitude towards ethnic group, and sense of belonging in the life of the Dusuns. Secondly, by utilizing Phinney's (1996) three-stage model of ethnic identity formation, this study investigated the relationship between core components and the formation process of ethnic identity. Twenty-six Dusun informants ranging in age from 8 to 80 years old were interviewed for the purpose of this study. The analysis of the interview data revealed that all core components exist and evolve in the life of the Dusuns. Different perspectives towards core components can also be identified across different age groups. Adult informants contested the relevance of ethnic involvement in view of socio-cultural transformations that occurred within the ethnic group, whereas younger Dusuns were not able to extend sense of belonging outside their family. These findings lead to the identification of family and historical contexts as influential factors that shape the ways the informants experienced the ethnic identity components. Further, the findings of this study indicate the relationship between core components and the formation process of ethnic identity. Sense of belonging and community is only evident in the experience of older informants, sufficient to help them reach the stage of achieving ethnic identity. This also shows a positive sequential relation between the stages in Phinney's ethnic identity model and the age of the informants. Interestingly, evidence on internalized sense of belonging reveals the fact that an individual could still attain ethnic identity achievement even without experiencing all components of ethnic identity. Once again, this study suggests contextual factors play a role in the stage progression of the Dusuns' ethnic identity.

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Analyzing Contextual Polarity of Unstructured Data for Measuring Subjective Well-Being (주관적 웰빙 상태 측정을 위한 비정형 데이터의 상황기반 긍부정성 분석 방법)

  • Choi, Sukjae;Song, Yeongeun;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.83-105
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    • 2016
  • Measuring an individual's subjective wellbeing in an accurate, unobtrusive, and cost-effective manner is a core success factor of the wellbeing support system, which is a type of medical IT service. However, measurements with a self-report questionnaire and wearable sensors are cost-intensive and obtrusive when the wellbeing support system should be running in real-time, despite being very accurate. Recently, reasoning the state of subjective wellbeing with conventional sentiment analysis and unstructured data has been proposed as an alternative to resolve the drawbacks of the self-report questionnaire and wearable sensors. However, this approach does not consider contextual polarity, which results in lower measurement accuracy. Moreover, there is no sentimental word net or ontology for the subjective wellbeing area. Hence, this paper proposes a method to extract keywords and their contextual polarity representing the subjective wellbeing state from the unstructured text in online websites in order to improve the reasoning accuracy of the sentiment analysis. The proposed method is as follows. First, a set of general sentimental words is proposed. SentiWordNet was adopted; this is the most widely used dictionary and contains about 100,000 words such as nouns, verbs, adjectives, and adverbs with polarities from -1.0 (extremely negative) to 1.0 (extremely positive). Second, corpora on subjective wellbeing (SWB corpora) were obtained by crawling online text. A survey was conducted to prepare a learning dataset that includes an individual's opinion and the level of self-report wellness, such as stress and depression. The participants were asked to respond with their feelings about online news on two topics. Next, three data sources were extracted from the SWB corpora: demographic information, psychographic information, and the structural characteristics of the text (e.g., the number of words used in the text, simple statistics on the special characters used). These were considered to adjust the level of a specific SWB. Finally, a set of reasoning rules was generated for each wellbeing factor to estimate the SWB of an individual based on the text written by the individual. The experimental results suggested that using contextual polarity for each SWB factor (e.g., stress, depression) significantly improved the estimation accuracy compared to conventional sentiment analysis methods incorporating SentiWordNet. Even though literature is available on Korean sentiment analysis, such studies only used only a limited set of sentimental words. Due to the small number of words, many sentences are overlooked and ignored when estimating the level of sentiment. However, the proposed method can identify multiple sentiment-neutral words as sentiment words in the context of a specific SWB factor. The results also suggest that a specific type of senti-word dictionary containing contextual polarity needs to be constructed along with a dictionary based on common sense such as SenticNet. These efforts will enrich and enlarge the application area of sentic computing. The study is helpful to practitioners and managers of wellness services in that a couple of characteristics of unstructured text have been identified for improving SWB. Consistent with the literature, the results showed that the gender and age affect the SWB state when the individual is exposed to an identical queue from the online text. In addition, the length of the textual response and usage pattern of special characters were found to indicate the individual's SWB. These imply that better SWB measurement should involve collecting the textual structure and the individual's demographic conditions. In the future, the proposed method should be improved by automated identification of the contextual polarity in order to enlarge the vocabulary in a cost-effective manner.