Topic
Connotation
About: Connotation is a research topic. Over the lifetime, 2096 publications have been published within this topic receiving 8265 citations.
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Journal Article•
TL;DR: The authors analyzes the reason why micro travel emerges and becomes popular on the basis of elaborating the connotation of micro travel and makes a thorough inquiry into the feature of tourists consumer behavior according to the reason.
Abstract: Micro travel is a tourism phenomenon which thrives in recent years. Firstly, the paper analyzes the reason why micro travel emerges and becomes popular on the basis of elaborating the connotation of micro travel. Secondly the paper makes a thorough inquiry into the feature of tourists consumer behavior according to the reason. Finally, the paper proposes the marketing strategies which fit the micro travel destinations best.
1 citations
Journal Article•
TL;DR: In this paper, the analysis of pictorial symbols bearing the cultural value and significance is the important premise to realize the traditional pattern of inheritance and innovation in Chinese traditional pattern, which is one kind of art form with formal and decorative aesthetic feeling, and also is a symbol system containing a large amount of cultural information.
Abstract: Chinese traditional pattern is one kind of art form with formal and decorative aesthetic feeling, and at the same time it also is a symbol system containing a large amount of cultural information. With meaningful formal language, pattern becomes the means that people understand the objective world. From the perspective of Semiotics, this article elaborates the cultural connotation of Chinese traditional pattern, puts forward the analysis of pictorial symbols bearing the cultural value and significance is the important premise to realize the traditional pattern of inheritance and innovation.
1 citations
10 Dec 2014
TL;DR: Findings of the study indicate that Design of ACE as a symbol of many layers needs to be developed in a way that promotes an understanding of how the symbolic process can bring joy.
Abstract: Semiotics as a science contains layers of symbols formed from combinations of the Signifier (singular meaning) and the Signified, and through numerous phases and multiple meanings. This behavioral approach is associated with the language of vision of computer users who enjoy digital media and who consider digital images as visual culture. Thus, the main objective is not simply focusing on image but conveying semantic information and meaning to a party that absorbs information with its own semantic network.The research objective was to verify the formula of "Destination loyalty + Technology + Amusement = ACE Design Code" by conducting a semiotic analysis of the Design of ACE Conference and proposing a Design Strategy. Findings verified the combined interaction of "Technological Signifier with Amusing Signified," resulting from the combined denotation and connotation of visual images. A semiotic analysis was conducted based on the formative, visual, and linguistic framework of the message by targeting Design of ACE."Technological Signifier and Emotional Signified," which ACE Design Code and Computer Entertainment must signify, were drawn from the analysis. Thus, findings of the study indicate that Design of ACE as a symbol of many layers needs to be developed in a way that promotes an understanding of how the symbolic process can bring joy.
1 citations
Journal Article•
TL;DR: Wang et al. as discussed by the authors made an in-depth study on the connotation, characteristics and the ways of realization for "Mixing Sport into Life" and found that accelerating the process of "mixing sport into life" helps form a healthy and active living style of the citizens, build up health and fitness of the people, meet the needs of people regarding materialistic culture and spiritual culture and further the harmonious development of society.
Abstract: By the methods of literature study and logical analysis, the authors made an in-depth study on the connotation, characteristics and the ways of realization for “Mixing Sport into Life” The result shows that accelerating the process of “Mixing Sport into Life” helps form a healthy and active living style of the citizens, build up health and fitness of the people, meet the needs of the people regarding materialistic culture and spiritual culture and further the harmonious development of society It is indispensable for the sport in China to meet the requirement of social development
1 citations
01 Jan 2009
TL;DR: Findings from the pilot study show that consensus between human subjects regarding the presence of connotative meaning in text can be achieved, that the degree of connotation present in a given text can been described on a continuum, and that a system can be implemented to recognize extreme cases of connotations.
Abstract: Pilot results are used to illustrate the potential of an integrated multi-disciplinary approach to semantic text analysis that combines cognitive-oriented human subject experimentation with Machine Learning (ML) based Natural Language Processing (NLP). The goal of this work is to automate the recognition of connotative meaning in text using a range of linguistic and non-linguistic features. This methodology combines human evaluations of text with automated processing of text in order to address social, cognitive and linguistic aspects of connotative meaning. The design of this study places the human in the loop at the point of identifying the degree of connotation present within a given text, rather than at the point of expert linguistic analysis. Findings from the pilot study show that consensus between human subjects regarding the presence of connotative meaning in text can be achieved, that the degree of connotation present in a given text can be described on a continuum, and that a system can be implemented to recognize extreme cases of connotation (or its opposite, denotation). The protocol used in this pilot study was run using a relatively modest number of human evaluators and set of data. Based on the extensibility of methodology and the promising findings described here, the reliability of the data used to train the ML system can be easily improved by increasing the size of both the human subject sample and the data set.
1 citations