scholarly journals Automatic Construction of a Knowledge System Using Text Data on the Internet

10.5772/6326 ◽  
2008 ◽  
Author(s):  
Junichi Takeno ◽  
Satoru Ikemasu ◽  
Yukihiro Kato
Keyword(s):  
Knowledge System ◽  
The Internet ◽  
Text Data ◽  
Automatic Construction

THE EMOTION OF JOY IN SOCIAL NETWORKS: VERBAL, PARAVERBAL AND NONVERBAL FORMS OF EXPRESSION

2021 ◽  
Author(s):  
A.V. Kolmogorova ◽  
S.R. Akhmadeeva
Keyword(s):  
Social Networks ◽  
Comparative Analysis ◽  
Team Sport ◽  
Sport Performance ◽  
Emotion Expression ◽  
The Internet ◽  
Text Data ◽  
Gender Factor

The article explores the text data of the Internet-comments published on social networks by fans to celebrate the victory of their favorite sportsmen. The aim of the publication is to analyze verbal, paraverbal and nonverbal forms of emotion expression in two groups of fans: those who are keen on sports profiling typically masculine properties (strength, audacity, endurance), and, on the contrary, those who are passionate about the sport performance featuring feminine characteristics (grace, beauty, flexibility). The conducted comparative analysis gives evidence about the presence of a number of specific features due to the effect of gender factor. However, this factor largely correlates with other variables, such as linguacultural patterns, the nature of the sport itself (team sport vs individual sport).

Dancing with Postmodernity

2010 ◽  
pp. 343-364 ◽  
Author(s):  
Henk Eijkman
Keyword(s):  
Social Media ◽  
Web 2.0 ◽  
Knowledge System ◽  
The Internet ◽  
Learning Space ◽  
And Performance ◽  
Control Knowledge ◽  
And Control ◽  
Oriented Approach ◽  
The Web

This chapter addresses a significant theoretical gap in the Web 2.0 (or “Web 2.0+,” as it is referred to by the author) literature by analyzing the educational implications of the “seismic shift in epistemology” (Dede, 2008, p. 80) that is occurring. As already identified in Chapter 2, there needs to be a consistency between our own epistemic assumptions and those embedded in Web 2.0. Hence the underlying premise of this chapter is that the adoption of social media in education implies the assumption of a very different epistemology—a distinctly different way of understanding the nature of knowledge and the process of how we come to know. The argument is that this shift toward a radically altered, “postmodernist,” epistemic architecture of participation will transform the way in which educators and their students create and manage the production, dissemination, and validation of knowledge. In future, the new “postmodern” Web will increasingly privilege what we may usefully think of as a socially focused and performance-oriented approach to knowledge production. The expected subversion and disruption of our traditional or modernist power-knowledge system, as already evident in the Wikipedia phenomenon, will reframe educational practices and promote a new power-knowledge system, made up of new, social ways in which to construct and control knowledge across the Internet. The chapter concludes by advocating strategies for critical engagement with this new epistemic learning space, and posing a number of critical questions to guide ongoing practice.

scholarly journals An Enhanced Approach for Using Data Visualization for Sentiment Analysis and Auto Summarization Data

2018 ◽  
Vol 12 (9) ◽  
pp. 190
Author(s):  
Osama Mohammad Rababah ◽  
Esra F. Alzaghoul ◽  
Hussam N. Fakhouri
Keyword(s):  
Sentiment Analysis ◽  
Data Visualization ◽  
Full Text ◽  
Visual Representation ◽  
The Other ◽  
The Internet ◽  
Original Text ◽  
Text Data ◽  
Data Summarization ◽  
Using Data

With the rapid increase in the size of the data over the internet there is a need for new studies for text data summarization and representation; rather than storing the full text or reading the full text we can store and read a summary that represent the original text. Furthermore, there is a need also to represent the summarized text with visual representation; one picture worth ten thousandwords. In this paper we propose an approach for visual representation of the summarized text;visual resources give creative control over how message is perceived andprovide a faster way to know what where the text about.This approach were implemented and tested on a sample of two datasets one of 50 texts and the other dataset of 80 positive and negative movie comments, the evaluation has been done visually and the percent of success cases has been reported, the precision and recall has been calculated.

scholarly journals Robust Face Recognition for Data Mining

2008 ◽  
pp. 3621-3629
Author(s):  
Brian C. Lovell ◽  
Shaokang Chen
Keyword(s):  
Data Mining ◽  
Interactive Television ◽  
Multimedia Data ◽  
The Internet ◽  
Data Types ◽  
Text Documents ◽  
Text Data ◽  
Internet Backbone ◽  
Large Databases ◽  
Robust Face Recognition

While the technology for mining text documents in large databases could be said to be relatively mature, the same cannot be said for mining other important data types such as speech, music, images and video. Yet these forms of multimedia data are becoming increasingly prevalent on the Internet and intranets as bandwidth rapidly increases due to continuing advances in computing hardware and consumer demand. An emerging major problem is the lack of accurate and efficient tools to query these multimedia data directly, so we are usually forced to rely on available metadata, such as manual labeling. Currently the most effective way to label data to allow for searching of multimedia archives is for humans to physically review the material. This is already uneconomic or, in an increasing number of application areas, quite impossible because these data are being collected much faster than any group of humans could meaningfully label them — and the pace is accelerating, forming a veritable explosion of non-text data. Some driver applications are emerging from heightened security demands in the 21st century, post-production of digital interactive television, and the recent deployment of a planetary sensor network overlaid on the Internet backbone.

scholarly journals Erratum to “Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions”

2021 ◽  
Vol 2021 ◽  
pp. 1-1
Author(s):  
Umair Khadam ◽  
Muhammad Munwar Iqbal ◽  
Meshrif Alruily ◽  
Mohammed A. Al Ghamdi ◽  
Muhammad Ramzan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Security And Privacy ◽  
The Internet ◽  
Text Data ◽  
Future Directions ◽  
The Internet Of Things

scholarly journals A Framework to process Text Data of Web Discussion Forums A Study of LisLinks

2019 ◽  
Vol 39 (06) ◽  
pp. 315-321
Author(s):  
Mohit Garg ◽  
Uma Kanjilal
Keyword(s):  
Social Media ◽  
Unstructured Data ◽  
The Internet ◽  
Discussion Forums ◽  
Text Data ◽  
Knowledge Repository ◽  
Social Media Platforms ◽  
Statistical Programming ◽  
Application Programming ◽  
Programming Interfaces

Nowadays, people use the internet for both seeking and disseminating information in a collaborative way on various social media platforms like Quora, Yahoo Answers, LisLinks Forum, etc. This social interaction on different topics makes these platforms as a knowledge repository. Evaluation of these repositories can help to understand various trends. However, this evaluation is a challenging task because of unstructured data and the unavailability of application programming interfaces for the harvesting of a dataset. This study presented a framework to harvest and pre-processing of data available on LisLinks Forum. The proposed framework is implemented using statistical programming language R. The fourteen metadata elements were defined for the discussion forums. The framework automatically harvest and pre-process relevant data of posts.

scholarly journals Active Processes in the Syntax of Modern Russian Speech in the Aspect of Linguo-Semiotic and Linguo-Cognitive Interpretation

2021 ◽  
Vol 39 (1) ◽  
pp. 127-144
Author(s):  
T. B. Radbil
Keyword(s):  
Information Flow ◽  
Information Environment ◽  
The Internet ◽  
Internet Communication ◽  
Text Data ◽  
Continuous Sampling ◽  
Research Material ◽  
Active Processes ◽  
National Corpus

The paper examines the ways of implementation and syntactic organization of the discourse of the Russian segment of the Internet as a syncretic phenomenon that organically combines the principles of actualizing oral and written forms of communication. The methods of linguosemiotic and linguo-cognitive analysis of discourse as an information flow, based on the ideas of Yu. S. Stepanov, V. Z. Demyankov, U. Chafe and others are applied in the work. The research material is text data extracted from the Russian National Corpus and obtained by the method of continuous sampling based on the results of the author’s own Internet monitoring. The study shows that the syntax of Internet speech is not reduced to the process of hybridization of traditionally existing oral and written forms of language existence. In the usus of the information environment of the informal Internet, their own norms are developed, which are organic for the conditions of communication offered in this environment. The specific role of syntactic models of parcelling, segmentation, stringing techniques, graphic abbreviations, and other paraverbal means in informal Internet communication is analyzed. Also, special attention is paid to the originality of the punctuation design of speech on the Internet, the emergence of new punctuation norms. The author came at a conclusion that the Internet discourse is a new equal third form of language existence, along with the traditionally distinguished oral and written forms.

scholarly journals Secure Data Communication using Cryptography

2020 ◽  
Vol 9 (4) ◽  
pp. 987-989
Keyword(s):  
Data Security ◽  
Data Communication ◽  
The Internet ◽  
Digital Information ◽  
Text Data ◽  
The Public ◽  
Rsa Algorithm ◽  
Internet Users ◽  
Secure Data ◽  
Secure Data Transmission

Any type of digital information is called as data. In today's world, precarious data are growing and used in communication over internet. Hence, data security is most important factor for the internet users. The best solution is to use some cryptography algorithms which encrypts data in some cipher and transmit it over the internet and again decrypted to genuine data. Cryptography is eternal. The field of cryptography manages the technique for passing on information safely. The objective is to permit the expected recipients to get the message appropriately while interfere with snoopers from understanding the message. Key arrangement layout allows communicating parties to establish a mutual cipher key. The situation of present day of data security framework incorporates secrecy, legitimacy, trustworthiness, non-repudiation. This paper introduces a improved system for securing text-data communication benefiting the use of RSA algorithm. It is the public-key cryptosystem and is mainly used for secure data transmission[1].

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