Study on Dengue Cases

2019 ◽  
Vol 1 (2) ◽  
pp. 101-105
Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim
Keyword(s):  
Social Networking ◽  
Data Availability ◽  
Social Media Platform ◽  
Data Mining Tool ◽  
Huge Data ◽  
Technology Advancement ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Mining Tool

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather three different algorithm from Lazy classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.

scholarly journals A Study on Dengue Cases Detection based on Lazy Classifier

2019 ◽  
Vol 1 (1) ◽  
pp. 43-47
Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim
Keyword(s):  
Social Networking ◽  
Data Availability ◽  
Social Media Platform ◽  
Data Mining Tool ◽  
Huge Data ◽  
Technology Advancement ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Mining Tool

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access to a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scopes that could help improve people’s lives for the better. In this paper, we gather a total of six algorithms from Lazy Classifier to compare between them on which algorithm suited the most with the diabetes dataset. This research are using WEKA as the data mining tool for data analyzation 

Performance Comparison among Meta Classifier Algorithms in WEKA

2019 ◽  
Vol 1 (2) ◽  
pp. 106-112
Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim
Keyword(s):  
Social Networking ◽  
Performance Comparison ◽  
Data Availability ◽  
Data Mining Tool ◽  
Huge Data ◽  
Technology Advancement ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Mining Tool

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather all algorithm that are available inside Meta Classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.

Analysing Sentiment Analysis Twitter Data on Diabetes Cases By Using Bayes Classification

2019 ◽  
Vol 1 (2) ◽  
pp. 96-100
Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim
Keyword(s):  
Social Networking ◽  
Data Availability ◽  
Bayes Classifier ◽  
Data Mining Tool ◽  
Twitter Data ◽  
Technology Advancement ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Mining Tool

With the rise of social networking approach, there has been a surge ofusers generated content all over the world and with that in an erawhere technology advancement are up to the level where it could putus in a step ahead of pathogens and germination of diseases, wecouldn’t help but to take advantage of that advancement and providean early precaution measures to overcome it. Twitter on the other handare one of the social media platform that provides access towards ahuge data availability. To manipulate those data and transform it intoan important information that could be used in many different scopethat could help improve people’s life for the better. In this paper, wegather a total of six algorithm from Bayes Classifier to comparebetween them on which algorithm suited the most with the diabetesdataset. This research are using WEKA as the data mining tool fordata analyzation

Analysing Sentiment Analysis Twitter Data On Dengue Cases by Using Bayes Classification

2019 ◽  
Vol 1 (2) ◽  
pp. 91-95
Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim
Keyword(s):  
Social Networking ◽  
The Other ◽  
Bayes Classifier ◽  
Social Media Platform ◽  
Data Mining Tool ◽  
Twitter Data ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Mining Tool

With the rise of social networking approach, there has been a surge ofusers generated content all over the world and with that in an era wheretechnology advancement are up to the level where it could put us in astep ahead of pathogens and germination of diseases, we couldn’t helpbut to take advantage of that advancement and provide an earlyprecaution measures to overcome it. Twitter on the other hand are oneof the social media platform that provides access towards a huge dataavailability. To manipulate those data and transform it into an importantinformation that could be used in many different scope that could helpimprove people’s life for the better. In this paper, we gather fourdifferent algorithm from Bayes classifier to compare between them onwhich algorithm suited the most with the dengue fever dataset. Thisresearch are using WEKA and also Eclipse as the data mining tool fordata analyzation.

Do Social Media Matter? Initial Empirical Evidence

2014 ◽  
Vol 29 (2) ◽  
pp. 51-70 ◽  
Author(s):  
Hui Du ◽  
Wei Jiang
Keyword(s):  
Social Media ◽  
Firm Performance ◽  
Positive Impact ◽  
Data Availability ◽  
Social Media Platform ◽  
Media Technologies ◽  
The Social ◽  
Media Platform ◽  
Social Media Presence ◽  
The Impact

ABSTRACT This paper examines the association between firm performance and social media. Based on a sample of S&P 1500 firms, the study finds that firms with a social media presence are more highly valued by the market and have higher future financial performance. Further analysis indicates that the impact of social media on firm performance varies depending on the social media platform involved. Finally, using a restricted sample of Global 100 firms, the study finds some evidence that a higher level of social media engagement is associated with higher firm performance. Overall, these findings provide consistent evidence of the positive impact of social media technologies on firm performance. Data Availability: All data are available from public sources.

scholarly journals A survey on : Online Social Networking Attacks Detection Techniques

2021 ◽  
pp. 44-50
Author(s):  
Ankita Sharma
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Web Applications ◽  
Privacy And Security ◽  
Research Issues ◽  
Social Media Platform ◽  
Detection Techniques ◽  
Security Issues ◽  
The Social ◽  
Media Platform

Today's due the popularity of internet number of users are increase on every social media platform. In recent research found that 80% of youth depend on social media to make new friends , share photos. Through this they get popularity and large number of user base and become influencers . Most of the social media platform are providing different privacy and security . Still attacker find out the way to breech the security, privacy and confidently of users and companies or organizations using several techniques . This paper highlight the major security issues phasing by many social networking web applications. Also identify the solution based on attacks in different literature . At last, we discuss open research issues

scholarly journals Personal Branding through Da'wah on TikTok Social Media

2021 ◽  
Vol 3 (1) ◽  
pp. 85-94
Author(s):  
Amirah Nabilah ◽  
Bhunga Aulia ◽  
Dwi Yuniar
Keyword(s):  
Social Media ◽  
Research Team ◽  
Qualitative Approach ◽  
Descriptive Data ◽  
Collection Method ◽  
Social Media Platform ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Personal Branding

The COVID-19 pandemic that has hit the world requires people to stay at home, making social media the choice of people to seek entertainment or share knowledge. TikTok is one of the interesting centers for preachers to do their preaching. This study discussed Personal Branding on Husain Basyaiban @basyasman00 account through TikTok social media intending to be achieved by researchers is to find out how personal branding Husain Basyaiban through three da'wah content with the highest viewers on social media TikTok. Husain is a person with successful personal branding through the social media networking platform TikTok, where he presents content about Islamic Da'wah. Based on this, the research team was interested in analyzing how the personal branding process carried out by Husain Basyaiban through Da'wah on the social media platform TikTok. This research uses a qualitative approach with a data collection method in the form of document study, resulting in descriptive data in the form of written words from the behavior studied. The results of the research showed that Husain Basyaiban can meet 11 Criteria for Effective Authentic Personal Branding, namely Authenticity, Integrity, Consistency, Specialization, Authority, Privileges, Relevant, Perseverance, Visibility, Good Deeds, Performance.

scholarly journals Crowdfunding Salafism Crowdfunding as a Salafi Missionising Method

Religions ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 209
Author(s):  
Simon Sorgenfrei
Keyword(s):  
Social Media ◽  
Young People ◽  
Social Media Platform ◽  
Consumer Value ◽  
Online Presence ◽  
The Social ◽  
The World ◽  
Outreach Programme ◽  
Media Platform ◽  
New Perspective

As is also the case in other parts of the world, Salafi interpretations of Islam appear to be on the rise in Sweden, especially among young people turning to Islam. One of the most active and visible missionising Salafi organisations in Sweden is called islam.nu. It is based in Stockholm but has a national outreach programme and a very active online presence. This article focuses on islam.nu and a dawa campaign called #karavanen (the Caravan) and how it was advertised and developed on the social media platform Instagram from March 2018 to March 2020. By using market and consumer value theories to analyse the Instagram content related to the #karavanen, the article is an explorative attempt to approach contemporary Salafi missionising and growth from a new perspective.

scholarly journals #BoomerRemover: COVID-19, Ageism, and the Intergenerational Twitter Response

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 931-931
Author(s):  
Antonius Skipper ◽  
Daniel Rose
Keyword(s):  
Older Adults ◽  
Baby Boomers ◽  
Older Men ◽  
Social Media Platform ◽  
The Social ◽  
The World ◽  
Open Coding ◽  
Media Platform ◽  
Twitter Users ◽  
News Headlines

Abstract In March 2020, COVID-19 was declared a pandemic and frequently presented as a virus primarily affecting older adults. News headlines led with statements such as, “Coronavirus deaths are so far mostly older men” (Ramzy, 2020). Although later determined inaccurate, this perspective contributed to openly ageist views and exchanges from people around the world. On the social media platform of Twitter, #BoomerRemover was used as a hashtag to express views related to older adults, and particularly baby boomers, as the primary targets of COVID-19. This study uses qualitative methods to analyze the messages of Twitter users that discuss COVID-19 with the use of the hashtag #BoomerRemover. A total of 1,875 tweets posted in English and including the hashtag “#BoomerRemover” from March 16, 2020 to March 30, 2020 were analyzed. Analytic methods employed an open coding procedure consistent with grounded theory and Numeric Content Analysis (Marks, 2015). Salient themes include: (1) COVID-19 is Politically Driven (2) There’s a Real Intergenerational Divide, (3) Young People are Dying Too, and (4) #BoomerRemover is Simply Disrespectful. Findings suggest that only about a fourth of #BoomerRemover tweets could be considered ageist, and the large majority of tweets using the hashtag were related to politics and elections. Further, several of those using the #BoomerRemover hashtag to defend older adults were inadvertently causing it to remain relevant (trend) as a Twitter topic. This study recognizes the importance of considering Twitter – primarily composed of young adults – as a place where intergenerational attitudes vis-à-vis COVID-19 may be expressed.

scholarly journals Making sense of “superbugs” on YouTube: A storytelling approach

2021 ◽  
pp. 096366252198925
Author(s):  
Monika Djerf-Pierre ◽  
Mia Lindgren
Keyword(s):  
Social Media ◽  
Antimicrobial Resistance ◽  
Health Knowledge ◽  
Social Media Platform ◽  
Making Sense ◽  
New Knowledge ◽  
The World ◽  
Media Platform ◽  
Youtube Videos ◽  
Health Experts

Antimicrobial resistance is one of the greatest challenges facing the world. With the rapid growth of social media, YouTube has become an influential social media platform providing publics with expert health knowledge. This article explores how antimicrobial resistance is communicated on YouTube. Drawing on qualitative media analyses of the most viewed YouTube videos 2016–2020, we identify seven different genres and two main storytelling approaches, personalized and fictionalized storytelling, used to make sense of antimicrobial resistance and its complexities. The study contributes new knowledge about YouTube as a platform for health communication and the types of videos about antimicrobial resistance that gets most traffic. This is useful, not the least for public health experts working to improve communication strategies that target hard-to-reach media publics.

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