The article provides an insight into a problem of lexical semantic change. A short historical outline of the development of semantic studies is given. The authors analyze some of the most important stages in the history of the formation of this field. The existing approaches to dealing with form and meaning, namely semasiological and onomasiological ones are discussed. The authors consider the ...

The two general data analytic questions of subgroup mining (B2.2) deal with deviations and associations (C5.2.3, C5.2.4). A deviation pattern describes a deviating behavior (distribution) of a target variable in a subgroup. Target variable and behavior type are selected by the analyst for an individual mining task, the deviating subgroups are determined by the mining method. Deviation patterns ...

this research titeled (semantic change in the quranic words: praise prophet reverence) this study is about how to transform from the meaning to another. in this article we looked lexical and semantic meaning of three words of quran in pre-islamic era until the end of sending quran. we studied the influence of islam in changing word semantically. islam does not bring new words but added them new...

semantic shifting which is one of the most important semantic processes forming the meaning of some linguistic structures was first introduced by safavi (1379). the meaning of different structures such as proverbs, are made by semantic shifting which takes place on the syntagmatic axis, but is shown on the paradigmatic axis. the corpus used in this study consists of 10 persian proverbs which ar...

As the web usage patterns from clients are getting more complex, simple sessionizations based on time and navigation-oriented heuristics have been restricted to exploit various kinds of rule discoverying methods. In this paper, we present semantic session reconstruction based on semantic outliers from web log data. Above all, web directory service such as Yahoo is applied to enrich semantics to...

Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution (HSR) images to deal with, conventional probabilistic topic model (PTM) usually presents the images with a dense semantic representation. This consumes more time and requires more storage space. I...