scholarly journals A computational analysis of short sentences based on ensemble similarity model

2019 ◽  
Vol 9 (6) ◽  
pp. 5386
Author(s):  
Arifah Che Alhadi ◽  
Aziz Deraman ◽  
Masita Masila Abdul Jalil ◽  
Wan Nural Jawahir Wan Yussof ◽  
Rosmayati Mohemad
Keyword(s):  
Computational Analysis ◽  
Short Form ◽  
Rapid Development ◽  
Similarity Analysis ◽  
Short Text ◽  
Similarity Model ◽  
Standard Text ◽  
Use Of Social Media ◽  
Media Applications ◽  
Model Approach

<p>The rapid development of Internet along with the wide use of social media applications produce huge volume of unstructured data in short text form such as tweets, text snippets and instant messages. This form of data rarely contains repeated word. It presents challenge in sentences similarity analysis as the standard text similarity models merely rely on the number of word occurrence, often resulting unreliable similarity value. Besides, the use of abbreviation, acronyms, slang, smiley, jargon, symbol or non-standard short form also contributes to the difficulty in similarity analysis. Thus, an extended ensemble similarity model approach is proposed. An experimental study has been conducted using datasets of English short sentences. The findings are very encouraging in improving the similarity value for short sentences.</p>

Short Text Computing Based on Lexical Similarity Model

2019 ◽  
pp. 355-366
Author(s):  
Arifah Che Alhadi ◽  
Aziz Deraman ◽  
Masita@Masila Abdul Jalil ◽  
Wan Nural Jawahir Wan Yussof ◽  
Shahrul Azman Mohd Noah
Keyword(s):  
Short Text ◽  
Similarity Model ◽  
Lexical Similarity

scholarly journals THE IMPACT OF INTERNET-ENABLED PHONES ON PHYSICAL ACTIVITY AMONG STUDENTS OF TERTIARY INSTITUTIONS

2021 ◽  
Vol 10 (2) ◽  
pp. 37-42
Author(s):  
Asma Khalid
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Short Form ◽  
Smart Phones ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Tertiary Institutions ◽  
Prolonged Time ◽  
Media Applications ◽  
The Impact

BACKGROUND AND AIMS Smart phones usage is rapidly progressing day by day in young adults’ lives who have become habituated and less indulged in physical activities. Thus, this study is aimed to measure the impact of internet-enabled smart phones on physical activity of students. METHODOLOGY An online cross-sectional survey was conducted among students aged 18-30 years studying in tertiary institutions. Internet-Connectedness Index and International Physical Activity Questionnaire-Short Form were formulated in the Google Docs and distributed to participants via email or social media applications. RESULTS A total number of 252 students participated in study revealed that majority of users have own computer for prolonged time with broadband and 3G internet. Only (4.4%) participants have performed vigorous and (5.6%) moderate activities 7 days a week. Whereas (27.8%) participants spent their time sitting at desk, visiting friends, reading, sitting or lying down to watch TV for <2 hours (27.8%), <4 hours (21.8%) while >8 hours (23%) respectively. This showed that with the increased use of internet, young adults performed low physical activity. CONCLUSION It was concluded that majority of young adults have used internet for prolonged time on computer/laptop/cell phones whereas limited participants reported to have regular physical activity however, no significant association was found between the impacts of internet-connectedness with physical activity.

scholarly journals EVALUATION OF DISTANCE LEARNING SYSTEM (E-LEARNING): A SYSTEMATIC LITERATURE REVIEW

2022 ◽  
Vol 16 (1) ◽  
pp. 132
Author(s):  
Ignatius Adrian Mastan ◽  
Dana Indra Sensuse ◽  
Ryan Randy Suryono ◽  
Kautsarina Kautsarina
Keyword(s):  
Literature Review ◽  
Evaluation Model ◽  
Rapid Development ◽  
Learning System ◽  
Distance Learning System ◽  
E Learning ◽  
Main Thing ◽  
Approach Problem ◽  
Insight Into ◽  
Model Approach

Research in the field of e-learning is currently experiencing rapid development, especially due to the covid 19 pandemic. The application of e-learning in the world of education is currently the main thing and requires evaluation of its use. This study aims to determine the evaluation of models and trends in the development of e-learning (Learning Management System). Applying the Kitchenham approach, this System Literature Review (SLR) uses three main databases including Science Direct, ACM, SCOPUS. The final result obtained 38 articles published between 2016 and 2021. From this SLR, it was found that there were 7 criteria, namely Platform, Evaluation Model, Evaluation, Model, Approach, Problem, Trend and Challenge. These 7 criteria can be used for further research on e-learning. Thus this research provides knowledge about criteria that can be used further in research on E-learning and provides insight into its state-of-the-art.

scholarly journals Utilization of the Tiktok Video Application as a Means of Showing Existence And Self-Disclosure of Teenagers on Social Media

2021 ◽  
Vol 04 (09) ◽  
Author(s):  
Esty Wulandari ◽  
Keyword(s):  
Social Media ◽  
Rapid Development ◽  
Self Disclosure ◽  
Social Penetration Theory ◽  
Video Application ◽  
The Social ◽  
Social Penetration ◽  
Use Of Social Media ◽  
Share Information ◽  
Stable Stage

Along with the rapid development of technology, the current use of social media by the community is also increasing. One of the social media that is currently on the rise is the TikTok application. TikTok application users come from various backgrounds and ages, including teenagers. Video-based TikTok features accompanied by music, writing, and pictures are considered attractive so that they are liked by teenagers as a means of showing their existence and self-disclosure. TikTok is also currently developing as a way to share information. The theory applied by the researcher was Alman and Taylor's Social Penetration Theory. In addition to such theory, this paper are supported and strengthened by the concepts of Self-Disclosure, Social Media, Teenagers, TikTok, and also Self-Existence. This paper was a qualitative descritpive study which applied a qualitative study method. This paper involved several informants namely teenagers who were also the users of the TikTok application. The inclusion criteria here were teenagers who had a TikTok account, were active on TikTok, and used TikTok as part of their existence and self-disclosure. The results of this study explored the process of self-disclosure and also the existence carried out by the informants in accordance with the stages proposed in the social penetration theory. Informants passed through the stages of self-disclosure sequentially from the orientation stage to the stable stage so that the existence of teenagers in presenting themselves on social media could be observed.

scholarly journals The Use of Social Media as a Platform in Education: Ramifications of COVID-19 in Iraq

2021 ◽  
Vol 10 (3) ◽  
pp. 394
Author(s):  
Alaa Makki ◽  
Ahmed Omar Bali
Keyword(s):  
Social Media ◽  
Learning Process ◽  
Online Teaching ◽  
Survey Method ◽  
Online Questionnaire ◽  
Personal Initiative ◽  
Teachers And Students ◽  
Technology Applications ◽  
Use Of Social Media ◽  
Media Applications

Social media applications have become a vital tool for human daily communication and are widely used in the education process worldwide. Regardless of the use of social media by some instructors as a personal initiative, in Iraq, social media's use for educational purposes has been neglected. The outbreak of the COVID-19 pandemic pushed the world to implement online teaching using varying technology applications including social media as an essential tool in the learning process. This shifted the Iraqi government’s understanding of social media's role in education to the extent that they formally recommended that the educational departments, schools, universities use social media as a formal platform to keep the education going. However, there were concerns about using social media for several factors such as internet services, information and communication technology skills of instructors and students, integrity, and quality insurance of education. This study investigated the teachers' and students’ perceptions regarding these concerns by adopting a survey method through an online questionnaire using 'google forms' (N= 2010) with responses from teachers and students of universities and high schools and parents of students of basic schools. This study revealed that less than half of the respondents were in favor of using social media in the learning process. The findings suggested that the educational level, age, and geographical hierarchies and jobs of respondents are also correlated with using social media and e-learning.   Received: 12 September 2020 / Accepted: 11 February 2021 / Published: 10 May 2021

Similarity-based link prediction in social networks: A path and node combined approach

2016 ◽  
Vol 43 (5) ◽  
pp. 683-695 ◽  
Author(s):  
Chuanming Yu ◽  
Xiaoli Zhao ◽  
Lu An ◽  
Xia Lin
Keyword(s):  
Social Networks ◽  
Link Prediction ◽  
Computational Analysis ◽  
Rapid Development ◽  
Area Under The Curve ◽  
Combined Approach ◽  
Topological Features ◽  
Different Types ◽  
Path Dependent ◽  
Analysis Of Social Networks

With the rapid development of the Internet, the computational analysis of social networks has grown to be a salient issue. Various research analyses social network topics, and a considerable amount of attention has been devoted to the issue of link prediction. Link prediction aims to predict the interactions that might occur between two entities in the network. To this aim, this study proposed a novel path and node combined approach and constructed a methodology for measuring node similarities. The method was illustrated with five real datasets obtained from different types of social networks. An extensive comparison of the proposed method against existing link prediction algorithms was performed to demonstrate that the path and node combined approach achieved much higher mean average precision (MAP) and area under the curve (AUC) values than those that only consider common nodes (e.g. Common Neighbours and Adamic/Adar) or paths (e.g. Random Walk with Restart and FriendLink). The results imply that two nodes are more likely to establish a link if they have more common neighbours of lower degrees. The weight of the path connecting two nodes is inversely proportional to the product of degrees of nodes on the pathway. The combination of node and topological features can substantially improve the performance of similarity-based link prediction, compared with node-dependent and path-dependent approaches. The experiments also demonstrate that the path-dependent approaches outperform the node-dependent appraoches. This indicates that topological features of networks may contribute more to improving performance than node features.

Impact of General Social Media Experience on Usefulness for Business in the Workplace

2014 ◽  
pp. 14-32 ◽  
Author(s):  
Donald L. Amoroso ◽  
Tsuneki Mukahi ◽  
Mikako Ogawa
Keyword(s):  
United States ◽  
Social Media ◽  
Strong Predictor ◽  
The United States ◽  
Ease Of Use ◽  
Collective Knowledge ◽  
Use Of Social Media ◽  
Media Experience ◽  
Behavioral Intention To Use ◽  
Media Applications

This chapter looks at the adoption of general social media applications on usefulness for business, comparing the factors that influence adoption at work between Japan and the United States. In Japan, ease of use and usefulness for collective knowledge in general social media are predictors of usefulness for business social media, and in the United States, only usefulness for collective knowledge is a strong predictor of usefulness for business. The authors did not find behavioral intention to use social media in the workplace to be an important factor in predicting the usefulness of social media for business. The value of this research is its ability to understand the use of social media in the workplace to include how the experience of social media impacts on the expectation of usefulness for business and how the impact of ease of use differs from Japanese to the United States because of cultural, technological, and market reasons.

Social Media in Tertiary Education

2018 ◽  
pp. 1-19
Author(s):  
Ann M. Simpson
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Media Use ◽  
Tertiary Education ◽  
Social Media Use ◽  
Privacy Concerns ◽  
Educational Environments ◽  
Constant State ◽  
Use Of Social Media ◽  
Media Applications

Social media use is prevalent throughout the world and is now commonplace in higher education. The devices, support technologies, and social media applications used in higher education are in a constant state of change. Using social media in education creates new and sometimes challenging issues for institutions, instructors, and students. This chapter attempts to address some of the considerations and potential issues that impact our use of social media in the higher education classroom. It examines social media as an educational tool in higher education, possible pedagogies for social media use, potential educational contexts, and privacy concerns raised by social media use in educational environments. This chapter also provides a possible definition for social media and introduces some themes that will be explored in further detail in the following chapters.

A Framework for the Forensic Analysis of User Interaction with Social Media

2012 ◽  
Vol 4 (4) ◽  
pp. 15-30 ◽  
Author(s):  
John Haggerty ◽  
Mark C. Casson ◽  
Sheryllynne Haggerty ◽  
Mark J. Taylor
Keyword(s):  
Social Media ◽  
User Interaction ◽  
Large Data ◽  
Forensic Analysis ◽  
Data Sets ◽  
User Engagement ◽  
Online Data ◽  
Use Of Social Media ◽  
Temporal Dimensions ◽  
Media Applications

The increasing use of social media, applications or platforms that allow users to interact online, ensures that this environment will provide a useful source of evidence for the forensics examiner. Current tools for the examination of digital evidence find this data problematic as they are not designed for the collection and analysis of online data. Therefore, this paper presents a framework for the forensic analysis of user interaction with social media. In particular, it presents an inter-disciplinary approach for the quantitative analysis of user engagement to identify relational and temporal dimensions of evidence relevant to an investigation. This framework enables the analysis of large data sets from which a (much smaller) group of individuals of interest can be identified. In this way, it may be used to support the identification of individuals who might be ‘instigators’ of a criminal event orchestrated via social media, or a means of potentially identifying those who might be involved in the ‘peaks’ of activity. In order to demonstrate the applicability of the framework, this paper applies it to a case study of actors posting to a social media Web site.

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