Cyberspace最新文献

Cyberspace Pub Date : 2020-06-17 DOI: 10.5772/intechopen.82242

Fabiano M. Belém, Jussara M. Almeida, Marcos A. Gonçalves

{"title":"Tagging and Tag Recommendation","authors":"Fabiano M. Belém, Jussara M. Almeida, Marcos A. Gonçalves","doi":"10.5772/intechopen.82242","DOIUrl":"https://doi.org/10.5772/intechopen.82242","url":null,"abstract":"Tagging has emerged as one of the best ways of associating metadata with objects (e.g., videos, texts) in Web 2.0 applications. Consisting of freely chosen keywords assigned to objects by users, tags represent a simpler, cheaper, and a more natural way of organizing content than a fixed taxonomy with a controlled vocabulary. Moreover, recent studies have demonstrated that among other textual features such as title, description, and user comments, tags are the most effective to support information retrieval (IR) services such as search, automatic classification, and content recommendation. In this context, tag recommendation services aim at assisting users in the tagging process, allowing users to select some of the recommended tags or to come up with new ones. Besides improving user experience, tag recommendation services potentially improve the quality of the generated tags, benefiting IR services that rely on tags as data sources. Besides the obvious benefit of improving the description of the objects, tag recommendation can be directly applied in IR services such as search and query expansion. In this chapter, we will provide the main concepts related to tagging systems, as well as an overview of tag recommendation techniques, dividing them into two stages of the tag recommendation process: (1) the candidate tag extraction and (2) the candidate tag ranking.","PeriodicalId":34308,"journal":{"name":"Cyberspace","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78802862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cyberspace and Artificial Intelligence: The New Face of Cyber-Enhanced Hybrid Threats 网络空间和人工智能:网络增强混合威胁的新面貌

Cyberspace Pub Date : 2020-06-17 DOI: 10.5772/intechopen.88648

Carlos Pedro Gonçalves

引用次数: 0

5G Road Map to Communication Revolution 5G通信革命路线图

Cyberspace Pub Date : 2020-05-14 DOI: 10.5772/intechopen.92319

Evon M. O. Abu-Taieh, I. A. Hadid, Ali Zolait

引用次数: 1

Cyberspace as a New Living World and Its Axiological Contexts 网络空间作为一个新的生活世界及其价值论语境

Cyberspace Pub Date : 2020-03-28 DOI: 10.5772/intechopen.91907

S. Tolnaiová, S. Gálik

{"title":"Cyberspace as a New Living World and Its Axiological Contexts","authors":"S. Tolnaiová, S. Gálik","doi":"10.5772/intechopen.91907","DOIUrl":"https://doi.org/10.5772/intechopen.91907","url":null,"abstract":"The subject of the chapter is cyberspace in an axiological perspective, which is our new lifeworld. The focus is particularly on the problem of the quality of our life in its specific circumstances. The aim is (on the background of the characteristics of cyberspace as a lifeworld) to solve the problem of values and significance, but also the risks of our so-called cyber experience. In this context, the aim is also to identify various conditions, axiological indicators and the relevant elements of the quality of our life in cyberspace. The authors pursue their goal using the phenomenological-hermeneutic method within the four parts of the chapter. In part 1, cyberspace is interpreted as a life world that is co-constructed in our acts of communication. In part 2, the problem of values, significance and risks of our cyber experience is discussed. The key variable is digital “well-being.” As they point out in part 3, it should be our morally based value “good life,” which is expressed as “ethos” in our life. In part 4, in this perspective, we are faced with the relevant task of the art of living ‘ars vivendi’ with the necessary coherent self-understanding and value-moral claims and the education should also have a “psychological” dimension.","PeriodicalId":34308,"journal":{"name":"Cyberspace","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83741793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Classification Model for Bullying Posts Detection 欺凌帖子检测的分类模型

Cyberspace Pub Date : 2019-12-05 DOI: 10.5772/intechopen.88633

K. Nalini, L. Jabasheela

{"title":"Classification Model for Bullying Posts Detection","authors":"K. Nalini, L. Jabasheela","doi":"10.5772/intechopen.88633","DOIUrl":"https://doi.org/10.5772/intechopen.88633","url":null,"abstract":"Nowadays, many research tasks are concentrating on Social Media for Analyzing Sentiments and Opinions, Political Issues, Marketing Strategies and many more. Several text mining structures have been designed for different applications. Harassing is a category of claiming social turmoil in different structures and con-duct toward a singular or group, to damage others. Investigation outcomes demonstrated that 7 young people out of 10 become the casualty of cyber bullying. Throughout the world, many prominent cases are existing due to the bad communications over the Web. So there could be suitable solutions for this problem and there is a need to eradicate the lacking in existing strategies in dealing problems with cyber bullying incidents. A prominent aim is to design a scheme to alert the people those who are using social networks and also to prevent them from bullying environments. Tweet corpus carries the messages in the text as well as it has ID, time, and so forth. The messages are imparted in informal form and furthermore, there is variety in the dialect. So, there is a requirement to operate a progression of filtration to handle the raw tweets before feature extraction and frequency extraction. The idea is to regard each tweet as a limited blend over a basic arrangement of topics, each of which is described by dissemination over words, and after that analyze tweets through such topic dispersions. Naturally, bullying topics might be related to higher probabilities for bullying words. An arrangement of training tweets with both bullying and non-bullying texts are required to take in a model that can derive topic distributions from tweets. Topic modeling is used to get lexical collocation designs in the irreverent content and create significant topics for a model.","PeriodicalId":34308,"journal":{"name":"Cyberspace","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89473970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blind Wavelet-Based Image Watermarking 基于盲小波的图像水印

Cyberspace Pub Date : 2019-11-27 DOI: 10.5772/INTECHOPEN.88131

A. Algarni, Hanaa A. Abdallah

引用次数: 8

Research Design and Methodology 研究设计与方法

Cyberspace Pub Date : 2019-08-07 DOI: 10.5772/INTECHOPEN.85731

Kassu Jilcha Sileyew

引用次数: 7

Cyberspace as a New Existential Dimension of Man 网络空间:人的新存在维度

Cyberspace Pub Date : 2019-07-25 DOI: 10.5772/INTECHOPEN.88156

S. Gálik, S. Tolnaiová

{"title":"Cyberspace as a New Existential Dimension of Man","authors":"S. Gálik, S. Tolnaiová","doi":"10.5772/INTECHOPEN.88156","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.88156","url":null,"abstract":"Since the second half of the twentieth century, especially from the 1990s to the present, we have seen significant sociocultural changes that have mostly been influenced by information technology. In the area of information technology, it is mainly the Internet that is the essential part of all modern communication technologies such as smartphones, iPads, and so on. The Internet is a new communication space, also called cyberspace, in which we not only communicate but also work, learn, buy, have fun, and so on. It does not seem to be a mere “tool” of our new way of communication, but a dimension that becomes part of our existence. We then have to ask how our existence is changing under the influence of new technologies. How do we change the value system in cyberspace communication? What are the possibilities and risks of communication in cyberspace? These are just some of the issues that arise in connection with communication in cyberspace to which we will seek answers. In the chapter we use the phenomenological and hermeneutic method. Through the phenomenological method, we examine the basic structure of cyberspace (Clark, Ropolyi) and, using a hermeneutic method, examine the differences between communication in cyberspace and old media (Lohisse, Postman, Bystřický).","PeriodicalId":34308,"journal":{"name":"Cyberspace","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82911238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Combined Deep Learning and Traditional NLP Approaches for Fire Burst Detection Based on Twitter Posts 结合深度学习和传统NLP方法的基于Twitter帖子的火灾探测

Cyberspace Pub Date : 2019-04-18 DOI: 10.5772/INTECHOPEN.85075

Konstantinos-George Thanos, Andrianna Polydouri, A. Danelakis, D. Kyriazanos, S. Thomopoulos

{"title":"Combined Deep Learning and Traditional NLP Approaches for Fire Burst Detection Based on Twitter Posts","authors":"Konstantinos-George Thanos, Andrianna Polydouri, A. Danelakis, D. Kyriazanos, S. Thomopoulos","doi":"10.5772/INTECHOPEN.85075","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.85075","url":null,"abstract":"The current chapter introduces a procedure that aims at determining regions that are on fire, based on Twitter posts, as soon as possible. The proposed scheme utilizes a deep learning approach for analyzing the text of Twitter posts announcing fire bursts. Deep learning is becoming very popular within different text applica-tions involving text generalization, text summarization, and extracting text information. A deep learning network is to be trained so as to distinguish valid Twitter fire-announcing posts from junk posts. Next, the posts labeled as valid by the network have undergone traditional NLP-based information extraction where the initial unstructured text is converted into a structured one, from which potential location and timestamp of the incident for further exploitation are derived. Analytic processing is then implemented in order to output aggregated reports which are used to finally detect potential geographical areas that are probably threatened by fire. So far, the part that has been implemented is the traditional NLP-based and has already derived promising results under real-world conditions ’ testing. The deep learning enrichment is to be implemented and expected to build upon the performance of the existing architecture and further improve it.","PeriodicalId":34308,"journal":{"name":"Cyberspace","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86017031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Text Mining to Facilitate Domain Knowledge Discovery 促进领域知识发现的文本挖掘

Cyberspace Pub Date : 2019-04-08 DOI: 10.5772/INTECHOPEN.85362

Chengbin Wang, Xiaogang Ma

引用次数: 3