This study aims to investigate the semantic and syntactic features of verbs used in the introduction section of Applied Linguistics research articles published in Iranian and international journals. A corpus of 20 research article introductions (10 from each journal) was used. The corpus was analysed for the syntactic features (tense, aspect and voice) and semantic meaning of verbs. The finding...

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...

Semantic labeling is an active field in remote sensing applications. Although handling high detailed objects in Very High Resolution (VHR) optical image and VHR Digital Surface Model (DSM) is a challenging task, it can improve the accuracy of semantic labeling methods. In this paper, a semantic labeling method is proposed by fusion of optical and normalized DSM data. Spectral and spatial featur...

In social networking/microblogging environments, #tag is often used for categorizing messages and marking their key points. Also, since some social networks such as twitter apply restrictions on the number of characters in messages, #tags can serve as a useful tool for helping users express their messages. In this paper, a new knowledge-intensive content-based #tag recommendation system is intr...

This article concerns the general functional features of an adjective in modern English, and in particular multistate lexical item “just”, which carries different meanings in different variants of combinatorics. The authors analyze the combinations used with the adjectival lexeme item “just” and reveal the categories that determine the degree of semantic content of each given statement. The nee...