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99 articles for “Social Network”
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Review ArticleOpen accessIn the abstractA Survey on Event Detection Models for Text Data StreamsWafa Zubair AL-Dyani, Farzana Kabir Ahmad, Siti Sakira KamaruddinEvent Detection (ED) is a study area that attracts the attention of decision-makers from various disciplines in order to help them in taking the right decision. ED has been examined on various text streams like Twitter, Facebook, Emails, Blogs, Web Forums and newswires. Many ED models have been proposed in literature. In general, ED model consists of six main phases: … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 7,044 accessesView PDFCite
Research ArticleOpen accessIn the abstractCONSUMERS’ PERCEIVED RISK AND ITS EFFECT ON ADOPTION OF ONLINE BANKING SERVICESFereshteh Farzianpour, Mahsa Pishdar, Masoumeh Danesh Shakib, Mohammad Reza Seyyed Hashemi TolounAlthough online banking services have gained a lot of attention, many consumers are still not willing to use them. Since online banking services can be a competitive advantage for banks, it is useful to know the core factors affecting the use of online banking services. This study sheds light on different aspects of consumers’ perceived risk to analyses the influence … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 23 Nov 2013 · 8,367 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Artificial Neural Network Based Approach for Mortality Structure AnalysisSokolova M. Kursk, Rashad J. Rasras, D. SkopinThe theoretical outcomes and experimental results of applying of Artificial Neural Networks towards mortality structure examination in Russian Federation are presented in the paper. The most influencing classes of diseases are selected by sensitivity analysis. It is proved that Neural Network Models appear to be an adequate tool for mortality structure examination. Some interesting results for males and females total … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Sep 2006 · 7,061 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch Impact, the ‘New Academic Capital’: An Environmental Scan of Research Impact Indicators and Resources for the Humanities and Social Sciences across 32 CountriesSamantha Shewchuk, Amanda CooperResearch impact agendas are gaining momentum globally and changing research policies from funding agencies and universities. This article reports on an environmental scan of research impact indicators and resources for Humanities and Social Sciences (HSS) from 32 countries. Changing policies from national research funders include new expectations for researchers to mobilize their research to non-academic audiences that could benefit from … …Journal of Social Sciences, Vol. 14, Issue 1 · 7 Feb 2018 · 8,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis of French Tweets based on Subjective Lexicon Approach: Evaluation of the use of OpenNLP and CoreNLP ToolsAbdelkader Rhouati, Jamal Berrich, Mohammed G. Belkasmi, Toumi BouchentoufNowadays, sentiment analysis is becoming a very important issue of research. This paper present experimentation on sentiment analysis based on subjective lexicon method. This experimentation is tested over French tweets using "Public Opinion Knowledge (POK)" platform. POK is a platform consists in getting public opinion orientation from text extracted from social network and blogs, which we have developed and presented … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Socialising Function of Sport in the Process of CivilisationRudolf LeberProblem statement: The development of sport is certainly one of the great cultural and especially civilising achievements in the history of mankind. Particularly due to its socialising function, sport plays a significant role in the context of civilising processes. Approach: Sport as a mass phenomenon also offers the possibility of exploiting and abusing the general public. Not too long ago, … …Journal of Social Sciences, Vol. 8, Issue 1 · 4 Nov 2011 · 8,758 accessesView PDFCite
Research ArticleOpen accessIn the abstractBuddhist Philosophy: A Study of Buddha Images for Perpetuating Buddhism in Isan SocietyThidarat Duangsin, Songkoon Chantachon, Khosit PaengsoiProblem statement: Buddha image is a symbol which built for representing the Buddha. At present, the majority of people always misinterpret and misevaluate the real value of Buddha image. As a matter of fact, Buddha image enhances social solidarity and social networks of Northeast-Thai people. Appreciating value of Buddha image is necessary for next generation so a study of Buddhist … …Journal of Social Sciences, Vol. 7, Issue 2 · 4 Feb 2011 · 8,679 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Exploration of the Organizational Culture in the International Business Relationships and Conflicts EraJose G. Vargas-Hernández, Mohammad Reza NoruziProblem statement: The purpose is to analyze the organizational culture notion in relationships of co-operation in international business and management era. Approach: Public policies of government can strengthen or weaken the fiduciary culture. A political institution may be a good predictor of a quality constitution that prevents wasteful conflict among elites. Results: Also conflict between a firm, the community, new … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 7,986 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdverse Drug Reaction Detection Using Latent Semantic AnalysisAhmed Adil Nafea, Nazlia Omar, Mohammed M. AL-AniDetecting Adverse Drug Reactions (ADRs) is one of the important information for determining the view of the patient on one drug. Most studies have investigated the extraction of ADRs from social networks, in which users share their opinion on a particular medication. Some studies have used trigger terms to detect ADRs. Such studies showed remarkable performance in terms of extracting … …Journal of Computer Science, Vol. 17, Issue 10 · 28 Oct 2021 · 7,816 accessesView PDFCite