The feature interaction problem is prominent in telephone service development. Through a number of case studies, we have discovered that no single semantic framework is suitable for the synthesis and analysis of formal feature requirements models, and the choice of modelling language has certain knock-on effects on the transformational design steps which lead to implementation. We initially des...

Target or feature specific sentiment classification of a product review consists of extracting opinion or sentiment expressing phrases, extracting the targets (features in a product domain), computing the semantic orientation of the sentiment expressing phrase and assigning the sentiment expression to the product feature it targets. Each of the tasks is fundamental to the problem of target-spec...

Sketch-based modeling has attracted considerable attention in recent years. In this paper, we propose a semantic feature modeling system for sketch-based jewelry design, called Sketch2Jewelry. The newly devised semantic feature class encodes specific domain knowledge (jewelry design knowledge in this paper) and supplies prolific semantic information. The advantage of using semantic features is ...

Purpose: This study investigated two classifications of semantic features, feature importance and relevance, to verify if they differentially influenced lexical knowledge in individuals with aphasia.Methods: A sorting task was utilized 20 volunteer participants aphasia investigate the processing involved association features their appropriate nouns. corpus 18 nouns displayed front each particip...

Previous research on participants with aphasia has mainly been based on standard functional neuroimaging analysis. Recent studies have shown that functional connectivity analysis can detect compensatory activity, not revealed by standard analysis. Little is known, however, about the default-mode network in aphasia. In the current study, we studied changes in the default-mode network in subjects...

In this article, we test a word vector space model using direct evaluation methods. We show that independent component analysis is able to automatically produce meaningful components that correspond to semantic category labels. We also study the amount of features needed to represent a category using feature selection with syntactic and semantic category test sets.

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...

As traditional topic detection under the online social network is lack of mining the topic semantic features and dynamic evolution characteristics, this paper studies the semantic features and dynamic evolution trend based on topic temporal chain under the online social network. According to the temporal relations, text flows are divided into the text set in continuous time slice, then combinat...