List of Articles semantic features

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  1 - Analysis of conceptual elements of art in the poems of poets of the sixth century AH
  Morteza Heidari
  In this research the author has elicited the marked semantic features / components of art concept in the poetry of 6th century with using the principles of conceptual semantics. With a critical and editorial look at the structures identified for conceptual semantics, h More

  In this research the author has elicited the marked semantic features / components of art concept in the poetry of 6th century with using the principles of conceptual semantics. With a critical and editorial look at the structures identified for conceptual semantics, he has reviewed these structures and their application in the field of linguistic and literary research. After classification of semantic features in relevant fields with every feature, fifteen various semantic fields acquired for art concept in the poems of 6th century poets. These semantic fields in order of extenting their domains are: literary language, practical wisdom, eulogy, aesthetics, craft, morality and habitude, social criticism, war, anthropology, zoology, religion, cosmology, ecology, mysticism and love. In literary language field, the diverse ontological phenomenon have been the materials for the poetical imagery with figurative devices, i.e. simile and implicit metaphor. In the semantic realm of praise, the art of the praiseworthy feature, incapable, has been reported against him. The components obtained in the field of aesthetics show that the poetry of the sixth century was the basis of the discourse of aesthetics. The semantic field of industry has been obtained from various techniques and professions. Individual and social characteristics are grouped in the semantic domain of morality and temperament. Non gratification of poets in 6th century from their art has conceptualized the semantic field of social criticism. Also warfare and the quality of martial instrumen are also marked for the concept of art. Art has also been enumerated in the field of anthropology of human habits and, nevertheless, has been considered as a feature of various animals. Theism, religion and requisite for earmarking the religion also conceptualized for art. Finally, art has been reported as a feature of the universe and cosmic objects and has been conceptualized with singular semantic features of ecology, mysticism and love. The research findings show that art has a very comprehensive concept in the framework of the mentioned studies and is contrary to the conventional notions of today. The research findings prove that art in the studied framework has a most comprehensive and despite to usual assumptions concept. Manuscript profile
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  2 - Social Networks Embedding Based on the Employment of Community Recognition and Latent Semantic Feature Extraction Approaches
  Mohadeseh Taherparvar Fateme Ahmadi abkenari Peyman bayat
  The purpose of embedding social networks, which has recently attracted a lot of attention, is to learn to display in small dimensions for each node in the network while maintaining the structure and characteristics of the network. In this paper, we propose the effect of More

  The purpose of embedding social networks, which has recently attracted a lot of attention, is to learn to display in small dimensions for each node in the network while maintaining the structure and characteristics of the network. In this paper, we propose the effect of identifying communities in different situations such as community detection during or before the process of random walking and also the effect of semantic textual information of each node on network embedding. Then two main frameworks have been proposed with community and context aware network embedding and community and semantic feature-oriented network embedding. In this paper, in community and context aware network embedding, the detection of communities before the random walk process, is performed through using the EdMot non-overlapping method and EgoNetSplitter overlapping method. However, in community and semantic feature-oriented network embedding, the recognition of communities during a random walk event is conducted using a Biterm topic model. In all the proposed methods, text analysis is examined and finally, the final display is performed using the Skip-Gram model in the network. Experiments have shown that the methods proposed in this paper work better than the superior network embedding methods such as Deepwalk, CARE, CONE, and COANE and have reached an accuracy of nearly 0.9 and better than other methods in terms of edge prediction criteria in the network. Manuscript profile