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Proactive recommender systems are smart applications which deliver the recommendations on users' mobile devices automatically, without their intervention. Such systems help the users in timely reception of the information of their interest. Improving user's acceptance on pushed recommendations of these systems is a challenging task. In these systems, determining right push context (situation) and...
Sentiment Analysis is one of the significant issues in the area of natural language processing, computational linguistics and text mining. It has also become a potential research area in bibliographic search and opinion mining, which is our main focus in this paper. Sentiment analysis of citations on schema-based research contents, such as scientific articles and reports, may not only makes an appropriate...
This paper describes the development of parser algorithm which is used for Hindi-English machine translation (MT). Machine translation requires analysis, transfer and generation steps to produce target language output from a source language input. Structural representation of Hindi sentences codes the information of Hindi sentences and a transfer module can be designed to generate English sentences...
This paper presents an approach for pragmatic ambiguity detection in natural language requirements. Pragmatic ambiguities depend on the context of a requirement, which includes the background knowledge of the reader: different backgrounds can lead to different interpretations. The presented approach employs a graph-based modelling of the background knowledge of different readers, and uses a shortest-path...
In recent years, the development of legal ontologies has increased significantly with the diversity of their applications known as complicated due to the complexity of their domain. In the preliminary part of this paper, we introduce the major steps in the learning process, then we present some works interested in Arabic ontology learning. The rest of the paper serves to propose our approach for ontology...
To access the Internet, companies define a Service Level Agreement (SLA) with Internet Service Providers (ISPs). Nevertheless, the current Internet does not assure Quality of Service (QoS), what points toward the concept of virtual networks (VNs) and software defined network (SDN) to support the Future Internet. Moreover, the VN and SDN approaches can be mixed creating the Virtual Software Defined...
Explicit customer review ratings mark future business success. One important and well-studied aspect of customer satisfaction is a review's affective — positive or negative — valence. More recently, tools from natural language processing (NLP) applied to reviews show less obvious linguistic differences in review texts dependent on reviewer rating. Consistent with this is previous work using Linguistic...
Linguistic competences are of foremost importance to students in ESP (English for Specific Purposes) programs where they receive training in areas such as vocabulary, sentence structure and rhetoric norms common to science engineering fields in order to function professionally in English in an increasingly international environment. To achieve this goal, students have to be nurtured in field-specific...
Semantic relations acquisition is a crucial work in the field of knowledge acquisition. This paper presents a method that acquires semantic relation patterns from large microblog text. It initially analyzes the characteristic of microblog text, and give an algorithm of acquire patterns semi-automatically. Semantic relations are extracted from microblog corpus based on concept recognition and pattern...
This article discusses a possible approach combining existing technologies for Natural Language Processing (NLP), Knowledge Representation and Reasoning (KRR) and Data Visualization in a coherent Decision Support System (DSS) aimed to formulate and verify specific interpretative hypotheses about a certain text. The approach chosen for developing this system implies (i.) the customization and integration...
In this paper, we present a complete inferencing framework based on L-fuzzy sets, comprising fuzzification, inferencing itself, and both linguistic and numeric defuzzification strategies. We present the algorithms for each step, and then present a range of worked examples to illustrate the methods. Finally, we compare the results with similar examples which carry out ‘standard’ Mandani-style inference...
We introduce in this paper a quantitative preference based argumentation system relying on ASPIC argumentation framework [1] and fuzzy set theory. The knowledge base is fuzzified to allow agents expressing their expertise (premises and rules) attached with grades of importance in the unit interval. Arguments are then attached with a strength score aggregating the importance expressed on their premises...
In this paper, three special soft computing software systems are presented. The systems are based on the original results in two areas: fuzzy natural logic and fuzzy transform. The first software is LFL Controller that is a universal SW system that can be used in fuzzy or linguistic control, and in decision-making. The system implements results of fuzzy natural logic, namely the theory of evaluative...
Interaction between syntax and semantics has long been a hot issue in the field of linguistics and natural language processing. In this paper, knowledge representation and discovery for the interrelationship between syntactic features and sense selection of English modal verb must is conducted with the approach of formal concept analysis. A formal context with the senses of English modal verb must...
In this paper, we propose a Type-2 Context-based Fuzzy C-Means (T2-CFCM) clustering algorithm and its linguistic model. This clustering technique builds information granules in the form of Type-2 fuzzy sets and develops clusters by preserving the homogeneity of the clustered patterns associated with the input and output space. The fundamental idea of conditional fuzzy clustering and Linguistic Model...
The selection of energy projects in sustainable development context must guarantee a long-term balance between maintaining the integrity of the environment, the social equality and the economic efficiency. Energy decision-making problems and specifically project selection decisions are complex. First, multiple conflicting and not commensurable decision criteria (quantitative and/or qualitative) should...
In this paper we examine the possibilities of applying predictive analysis to users' written communication via comments in an open-ended online social networking forum: Scratch.mit.edu. Scratch is primarily used by youth ages 8-16 years to program software like games, animations, and stories, their social interactions take place around commenting, remixing, and sharing computer programs (called projects)...
In the attempt to shed light on the multifaceted complexity of privacy, this paper explores the frames that emerged in American coverage of privacy since the 1980s. Informed by framing theory, this study assumes that media frames represent an important component of how society approaches and discusses issues. The author collected 2,473 articles covering privacy published in three timeframes. The author...
The Deaf use Sign Language for intellectual development, communication and other language dependent tasks, including the learning of the oral language in which they are immersed. However, Deaf children should no longer be expected to access academic learning using the oral language [1][4][6]. Rather they need to have access to a writing system in/for Sign Language. Writing systems (sequence of characters...
Word clouds have emerged as a straightforward and visually appealing visualization method for text. They are used in various contexts as a means to provide an overview by distilling text down to those words that appear with highest frequency. Typically, this is done in a static way as pure text summarization. We think, however, that there is a larger potential to this simple yet powerful visualization...
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