Abstract Recent work has shown that Aspect-Term Sentiment Analysis (ATSA) can be effectively performed by Gradual Machine Learning (GML). However, the performance of current unsupervised solution is limited inaccurate and insufficient knowledge conveyance. In this paper, we propose a supervised GML approach for ATSA, which exploit labeled training data to improve It leverages binary polarity re...

This paper reports our submissions to the four subtasks of Aspect Based Sentiment Analysis (ABSA) task (i.e., task 4) in SemEval 2014 including aspect term extraction and aspect sentiment polarity classification (Aspect-level tasks), aspect category detection and aspect category sentiment polarity classification (Categorylevel tasks). For aspect term extraction, we present three methods, i.e., ...

In this paper, we present the system we have developed for the SemEval2014 Task 4 dedicated to Aspect-Based Sentiment Analysis. The system is based on a robust parser that provides information to feed different classifiers with linguistic features dedicated to aspect categories and aspect categories polarity classification. We mainly present the work which has been done on the restaurant domain...

studying political terms is an approach to understading the quranic political culture. from professor kurani's point of view, a quranic political term is a word or phrase whose political aspect prevails. after explaining the research methodology in studies related to quranic political terms and culture, the writer analyses some political terms with respect to the related quranic verses.

The purpose of the article is to carry out a categorical and conceptual analysis concept “creativity”, reveal its essence interpretation analyze scientific views on this phenomenon in cultural discourse. research methodology based application dialectical logical approaches theoretical general methods, which allowed detailed “creativity” direction. novelty related definition scientists understan...