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.

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

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.

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

Children’s cancer narratives on YouTube: Agency and entrepreneurship in Brazilian CarecaTV

2020 ◽  
pp. 204361062096701
Author(s):  
Lidia Marôpo ◽  
Raiana de Carvalho ◽  
Ana Jorge
Keyword(s):  
Social Media ◽  
Brain Cancer ◽  
The Other ◽  
Constructivist Approach ◽  
Cultural Contexts ◽  
Social Media Platform ◽  
The Social ◽  
Media Platform ◽  
The One

This article looks at the social and cultural contexts of children’s experiences of illness, through a particular focus on the context of the Global South and the role of the social media platform YouTube in children’s culture. It takes a socio-constructivist approach to discuss the case of CarecaTV (BaldTV), a Brazilian YouTube channel with more than one million followers created by Lorena Reginato at the age of 12 when she was recovering from brain cancer. In CarecaTV, cancer subjectivity co-exists with and is expressed through digital commercialization. On the one hand, through this process, Lorena Reginato gains agency as she offers an inspirational and credible first-person testimony about cancer during childhood and becomes an emerging cancer activist. On the other, she uses entrepreneurship strategies associated with the digital influencer model of YouTube to promote herself as a (cancer) micro-celebrity, taking the lead in a youthful and playful culture.

scholarly journals FEATURE BASED ANALYSIS ON THE DUPLICATE FAKE ACCOUNT ON TWITTER USING INTELLIGENT MECHANISM

2021 ◽  
Vol 9 (1) ◽  
pp. 1315-1320
Author(s):  
Dr. Mohammed Ali Alhariri
Keyword(s):  
Social Media ◽  
Random Forest ◽  
Decision Tree ◽  
Machine Learning Techniques ◽  
Social Media Platform ◽  
Twitter Data ◽  
Learning Techniques ◽  
The Social ◽  
Feature Based ◽  
Media Platform

The duplicate fake accounts are detected in this work the data from the social media platform is accessed. The platform choose to use the analysis on social media platform is selected as twitter. The twitter data is accessed using Twitter API, with using some selected features that remain the most appropriate regarding the reason of duplicate fake account. The feature based analysis is compared using machine learning techniques, Random Forest, Decision Tree, and SVM. The performance is further analyzed based on accuracy SVM performed 93.3% accuracy, where decision tree performed as 89.0% and random forest performed as 85.5%. The better performance observed using feature-based analysis is of SVM.  

scholarly journals THE BEHAVIOR OF PEOPLE ON YOUTUBE BASED ON EXPERIMENTAL DATA

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Olipriya Chakraborty
Keyword(s):  
Experimental Data ◽  
Social Media ◽  
The Other ◽  
New Method ◽  
Social Media Platform ◽  
Other Hand ◽  
The Social ◽  
Media Platform ◽  
Educational Videos

The 7-day experiment was conducted to find out the behavior of people on the social media platform of YouTube. It addressed whether people spend most of their time on YouTube watching education-based videos or entertainment-based videos. It was an experiment using a new method to take a fresh look at existing ideas. The research was conducted to find out the productivity of people on YouTube. Two YouTube channels were formed and a video posted every day and their views, as well as the new number of subscribers, were recorded every 24 hours. One of the channels was education-based while the other was entertainment-based. Finally, it was found out that the education-based channel had gained 4 new subscribers and the total number of views was 32. The entertainment-based channel, on the other hand, had gained 16 subscribers. The total number of views was 237. Thus, it can be effectively concluded that people tend to spend their time watching entertaining videos as opposed to educational videos on YouTube. It means they tend to spend their time less productively.

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 Interdisciplinary optimism? Sentiment analysis of Twitter data

2019 ◽  
Vol 6 (7) ◽  
pp. 190473 ◽  
Author(s):  
Charlotte Teresa Weber ◽  
Shaheen Syed
Keyword(s):  
Social Media ◽  
Interdisciplinary Research ◽  
Well Being ◽  
Social Media Platform ◽  
Twitter Data ◽  
Bright Spots ◽  
The Social ◽  
Media Platform ◽  
Positive Experiences ◽  
Creativity And Innovation

Interdisciplinary research has faced many challenges, including institutional, cultural and practical ones, while it has also been reported as a ‘career risk’ and even ‘career suicide’ for researchers pursuing such an education and approach. Yet, the propagation of challenges and risks can easily lead to a feeling of anxiety and disempowerment in researchers, which we think is counterproductive to improving interdisciplinarity in practice. Therefore, in the search of ‘bright spots’, which are examples of cases in which people have had positive experiences with interdisciplinarity, this study assesses the perceptions of researchers on interdisciplinarity on the social media platform Twitter. The results of this study show researchers’ many positive experiences and successes of interdisciplinarity, and, as such, document examples of bright spots. These bright spots can give reason for optimistic thinking, which can potentially have many benefits for researchers’ well-being, creativity and innovation, and may also inspire and empower researchers to strive for and pursue interdisciplinarity in the future.

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