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.

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 

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.

Assessment of the Social Media in Knowledge Sharing

2020 ◽  
pp. 224-236
Author(s):  
P. K. Muthukumar
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Knowledge Sharing ◽  
Potential Outcomes ◽  
Joint Effort ◽  
Web Based ◽  
The Social ◽  
The World ◽  
Explicit Consideration

Social media is never again an immaterial wonder; tools like Facebook, WhatsApp, LinkedIn, or YouTube have taken the world in a tempest. Social media has turned into a standard, changed individual connections, enabled people to add to number of issues, and produced new potential outcomes and difficulties to encourage joint effort. Associations have dire need of not just concentrating on advancement of new items and administrations, yet additionally giving explicit consideration to viable learning sharing, which is of indispensable significance for their success. The potential favourable position of grasping and executing web-based social networking is tremendous. Despite the fact that the enthusiasm for internet-based life is expanding, from one perspective information specialists and administrators are hanging tight to get engaged with this synergistic world, since they may not feel motivated or may not know about the benefits of utilizing these devices for work purposes.

scholarly journals “The Social Media Blue Bird Creating an Online Sensation”: A Sentimental Analysis with Reference to Coke-studio Hashtags

2019 ◽  
Vol 18 (1) ◽  
pp. 15-33
Author(s):  
Anand Shankar Raja Ram ◽  
Amaravathi M
Keyword(s):  
Social Media ◽  
Brand Image ◽  
Consumer Preferences ◽  
Media Analysis ◽  
Social Media Analysis ◽  
Differential Approach ◽  
The Social ◽  
The World ◽  
Huge Impact ◽  
Media Platform

Coke-Studio, an online platform hosted in YouTube has been successful in both countries and has been discussed on another popular social media platform Twitter. However, studies report that Pakistan Coke-studio fares better in terms of its emotive content than its Indian edition. The paper analyses how the ―Hashtag fever‖ which has created a huge impact on brand image and profitability position of firms all around the world leads to the differential approach. Though a detailed Social Media Analysis (SMA), this paper aims to examine how hashtags work on the Twitter platforms and conclude how social-media often offers a glimpse of subconscious consumer preferences and its implications thereof.

scholarly journals The State of Social Media in Canada 2017

2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Jenna Jacobson ◽  
Philip Mai ◽  
Elizabeth Dubois
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Daily Routine ◽  
Policy Makers ◽  
The Social ◽  
The World ◽  
Social Media Platforms ◽  
P 16 ◽  
Survey Results ◽  
Media Platform

Today, billions of people around the world are turning to social media to socialize, conduct business, keep up with the news, as well as discover, discuss, and share information. The significance of this global adoption of a relatively new communication and information technology cannot be overlooked. As a country, Canada has one of the most connected populations in the world. For many Canadians, social media is now a part of their daily routine. Our survey results show that an overwhelming majority of online Canadian adults (94%) have an account on at least one social media platform. This makes it critical for policy makers, researchers, and others to have a better grasp of what social media platforms Canadians are using to connect and converse with one another. This report provides a snapshot of the social media usage trends and patterns amongst online Canadian adults based on an online survey of 1,500 participants (see Methods on p. 16 for more details).

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

#Cleftlip/Palate: What Is the World Talking About?

2020 ◽  
Vol 57 (9) ◽  
pp. 1093-1099
Author(s):  
Alexandra S. Hudson ◽  
Alexander D. Morzycki ◽  
Regan Guilfoyle
Keyword(s):  
Social Media ◽  
Cleft Lip ◽  
Cleft Lip And Palate ◽  
The United States ◽  
The Social ◽  
The World ◽  
Cleft Lip Palate ◽  
Social Media Platforms ◽  
Media Platform ◽  
Published Research

Objective: Studies have begun analyzing how the world converses on social media platforms about medical/surgical topics. This study’s objective was to examine how cleft lip and palate, two of the most common birth defects in the world, are discussed on the social media platform Twitter. No study to date has analyzed this topic. Methods: Tweets were identified using any of the following: cleft, cleft lip, cleft palate, #cleft, #cleftlip, #cleftpalate. Eight months between 2017 and 2018 were analyzed. Main Outcome Measures: The primary outcome was the tweet subject matter. Secondary outcomes were author characteristics, tweet engagement, multimedia, and tweet accuracy Results: A total of 1222 tweets were included. #Cleft was the most common hashtag (71%), and it was significantly associated with more retweets ( P = .03). Twenty-seven countries tweeted, with the United States (34%) and India (27%) producing the most. Charities (36%), hospitals (14%), and physicians (13%) were the most common authors. Over three-quarters of tweets were self-promotional. The top content included charity information (22%) and patients’ cleft stories (14%). Tweets about patient safety/care and surgical service trips generated the most engagement. The accuracy of educational tweets was 38% low accuracy and 1% inaccurate. One hundred forty-nine tweets (12%) discussed a published research article, but 41 tweets did not share a link. Conclusions: Charities dominate the cleft lip/palate “Twitterverse.” Most tweets were self-promotional, and over a third of educational tweets were low accuracy. As the cleft social media community continues to grow, we recommend using the hashtag #cleft to reach a wider audience.

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