the purpose of this study was to investigate the impact of weblog task assessment on iranian efl learners’ reading ability. to this purpose, a group of 30 english language students (both male and female) in rozaneh language institute in najafabad were selected based on their performance on the opt. the researchers tried to select a homogeneous sample in terms of age factor and proficiency level...

Aspect extraction and sentiment analysis of reviews are both important tasks in opinion mining. We propose a novel sentiment and aspect extraction model based on Restricted Boltzmann Machines to jointly address these two tasks in an unsupervised setting. This model reflects the generation process of reviews by introducing a heterogeneous structure into the hidden layer and incorporating informa...

An increasing number of innovative applications use data from online social networks. In many cases data analysis tasks, like opinion mining processes, are applied on platforms such as Twitter, in order to discover what people think about various issues. In our view, selecting the proper data set is paramount for the analysis tasks to produce credible results. This direction, however, has not y...

In this paper, we propose a system for aspect-based sentiment analysis (ABSA) by incorporating the concepts of multi-objective optimization (MOO), distributional thesaurus (DT) and unsupervised lexical induction. The task can be thought of as a sequence of processes such as aspect term extraction, opinion target expression identification and sentiment classification. We use MOO for selecting th...

We present a lightweight, user-centred approach for document navigation and analysis that is based on an ontology of text mining results. This allows us to bring the result of existing text mining pipelines directly to end users. Our approach is domain-independent and relies on existing NLP analysis tasks such as automatic multi-document summarization, clustering, question-answering, and opinio...

In this paper we describe our experience in conducting the first open sentiment analysis evaluations in Russian in 2011-2012. These initiatives took part within Russian Information Retrieval Seminar (ROMIP), which is an annual TREC-like competition in Russian. Several test and train collections were created for such tasks as sentiment classification in blogs and newswire, opinion retrieval. The...

Sentiment analysis of Chinese microblogs is important for scientific research in public opinion supervision, personalized recommendation and social computing. By studying the evaluation task of NLP&CC’2012, we mainly implement two tasks, namely the extraction of opinion sentence and the determination of sentiment orientation for microblogs. First, we manually label the sample of microblog corpu...

This paper aims to propose PMWF model, a new workflow model to automate ubiquitous policy making processes and facilitate citizen participation. While workflow technology has been widely adopted in public sector, the use of technology is mostly limited to supporting back-end administrative business processes. PMWF model targets front-end policy making processes that require active participation...

In 1925, the German biologist and philosopher Hans Driesch published a booklet entitled The Crisis in Psychology. It was originally published in English and was based on lectures given at various universities in China, Japan and the USA. The "crisis" in psychology of that time, in Driesch's opinion, lies in the necessity to decide about "the road which psychology is to follow in the future". Th...