scholarly journals Sentiment analysis on twitter tweets about COVID-19 vaccines usi ng NLP and supervised KNN classification algorithm

2021 ◽  
Vol 23 (1) ◽  
pp. 463
Author(s):  
F. M. Javed Mehedi Shamrat ◽  
Sovon Chakraborty ◽  
M. M. Imran ◽  
Jannatun Naeem Muna ◽  
Md. Masum Billah ◽  
...  
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Classification Algorithm ◽  
The People ◽  
Knn Classification ◽  
The World ◽  
Entire World

The pandemic has taken the world by storm. Almost the entire world went into lockdown to save the people from the deadly COVID-19. Scientists around the around have come up with several vaccines for the virus. Amongthem, Pfizer, Moderna, and AstraZeneca have become quite famous. General people however have been expressing their feelings about the safety and effectiveness of the vaccines on social media like Twitter. In this study, such tweets are being extracted from Twitter using a Twitter API authentication token. The raw tweets are stored and processed using NLP. The processed data is then classified using a supervised KNN classification algorithm. The algorithm classifies the data into three classes, positive, negative, and neutral. These classes refer to the sentiment of the general people whose Tweets are extracted for analysis. From the analysis it is seen that Pfizer shows 47.29%positive, 37.5% negative and 15.21% neutral, Moderna shows 46.16%positive, 40.71% negative, and 13.13% neutral, AstraZeneca shows 40.08%positive, 40.06% negative and 13.86% neutral sentiment.

Sentiment Analysis on Social Media

2020 ◽  
pp. 508-527
Author(s):  
Ramesh S. Wadawadagi ◽  
Veerappa B. Pagi
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Model Building ◽  
Feature Representation ◽  
Social Events ◽  
The People ◽  
The World ◽  
Media Applications ◽  
Near Future ◽  
Share Information

Due to the advent of Web 2.0, the size of social media content (SMC) is growing rapidly and likely to increase faster in the near future. Social media applications such as Instagram, Twitter, Facebook, etc. have become an integral part of our lives, as they prompt the people to give their opinions and share information around the world. Identifying emotions in SMC is important for many aspects of sentiment analysis (SA) and is a top-level agenda of many firms today. SA on social media (SASM) extends an organization's ability to capture and study public sentiments toward social events and activities in real time. This chapter studies recent advances in machine learning (ML) used for SMC analysis and its applications. The framework of SASM consists of several phases, such as data collection, pre-processing, feature representation, model building, and evaluation. This survey presents the basic elements of SASM and its utility. Furthermore, the study reports that ML has a significant contribution to SMC mining. Finally, the research highlights certain issues related to ML used for SMC.

Covid-19 – rumours and facts in media

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 171-174
Author(s):  
Tarare Toshida ◽  
Chaple Jagruti
Keyword(s):  
Social Media ◽  
Preventive Measures ◽  
Vital Role ◽  
The Other ◽  
Sources Of Information ◽  
Other Hand ◽  
Corona Virus ◽  
The People ◽  
The World

The covid-19 resulted in broad range of spread throughout the world in which India has also became a prey of it and in this situation the means of media is extensively inϑluencing the mentality of the people. Media always played a role of loop between society and sources of information. In this epidemic also media is playing a vital role in shaping the reaction in ϑirst place for both good and ill by providing important facts regarding symptoms of Corona virus, preventive measures against the virus and also how to deal with any suspect of disease to overcome covid-19. On the other hand, there are endless people who spread endless rumours overs social media and are adversely affecting life of people but we always count on media because they provide us with valuable answers to our questions, facts and everything in need. Media always remains on top of the line when it comes to stop the out spread of rumours which are surely dangerous kind of information for society. So on our side we should react fairly and maturely to handle the situation to keep it in the favour of humanity and help government not only to ϑight this pandemic but also the info emic.

scholarly journals Engaging for Puerto Rico: #RickyRenuncia (and #RickySeQueda) during El Verano del 19 and digital identities

2019 ◽  
Author(s):  
Danilo T Perez-Rivera ◽  
Christopher Torres Lugo ◽  
Alexis R Santos-Lozada
Keyword(s):  
Social Media ◽  
Puerto Rico ◽  
Social Activism ◽  
The United States ◽  
The Political ◽  
Digital Revolution ◽  
The People ◽  
The Social ◽  
The World ◽  
Puerto Rican Diaspora

Between July 13-24, 2019 the people of Puerto Rico took the streets after a series of corruption scandals shocked the political establishment. The social uprising resulted in the ousting of the Governor of Puerto Rico (Dr. Ricardo Rosselló, Ricky), the resignation of the majority of his staff something unprecedented in the history of Puerto Rico; this period has been called El Verano del 19 (Summer of 19). Social media played a crucial role in both the organization and dissemination of the protests, marches, and other activities that occurred within this period. Puerto Ricans in the island and around the world engaged in this social movement through the digital revolution mainly under the hashtag #RickyRenuncia (Ricky Resign), with a small counter movement under the hashtag #RickySeQueda (Ricky will stay). The purpose of this study is to illustrate the magnitude and grass roots nature of the political movement’s social media presence, as well as their characteristics of the population of both movements and their structures. We found that #RickyRenuncia was used approximately one million times in the period of analysis while #RickySeQueda barely reached 6,000 tweets. Particularly, the pervasiveness of cliques in the #RickySeQueda show concentrations of authority dedicated to its propagation, whilst the #RickyRenuncia propagation was much more distributed and decentralized with little to no interaction between significant nodes of authority. Noteworthy was the role of the Puerto Rican diaspora in the United States of America and around the world, contributing close to 40% of all geo-located tweets. Finally, we found that the Twitter followers of the former governor had indicators of being composed of two distinct populations: 1) those active in social media and 2) those who follow the account but who are not active participants of the social network. We discuss the implications of these findings on the interpretation of emergence, structure and dissemination of social activism and countermovement to these activities in the context of Puerto Rico.

scholarly journals Sentiment Analysis in Social Media using Machine Learning Techniques

2020 ◽  
pp. 193-201 ◽  
Author(s):  
Hayder A. Alatabi ◽  
Ayad R. Abbas
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Sentiment Analysis ◽  
Machine Learning Techniques ◽  
Great Success ◽  
Social Media Data ◽  
Learning Techniques ◽  
The World ◽  
Analysis System ◽  
Media Data

Over the last period, social media achieved a widespread use worldwide where the statistics indicate that more than three billion people are on social media, leading to large quantities of data online. To analyze these large quantities of data, a special classification method known as sentiment analysis, is used. This paper presents a new sentiment analysis system based on machine learning techniques, which aims to create a process to extract the polarity from social media texts. By using machine learning techniques, sentiment analysis achieved a great success around the world. This paper investigates this topic and proposes a sentiment analysis system built on Bayesian Rough Decision Tree (BRDT) algorithm. The experimental results show the success of this system where the accuracy of the system is more than 95% on social media data.

scholarly journals SENTIMENT ANALYSIS FOR SARCASTIC MESSAGES IN SOCIAL MEDIA USING DEEP LEARNING TECHNIQUES - AN EMPIRICAL STUDY

2021 ◽  
Vol 9 (2) ◽  
pp. 1051-1052
Author(s):  
K. Kavitha, Et. al.
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Empirical Study ◽  
Sentiment Analysis ◽  
Learning Strategies ◽  
Language Processing ◽  
The People ◽  
Learning Techniques ◽  
Key Terms ◽  
Learning Frameworks

Sentiments is the term of opinion or views about any topic expressed by the people through a source of communication. Nowadays social media is an effective platform for people to communicate and it generates huge amount of unstructured details every day. It is essential for any business organization in the current era to process and analyse the sentiments by using machine learning and Natural Language Processing (NLP) strategies. Even though in recent times the deep learning strategies are becoming more familiar due to higher capabilities of performance. This paper represents an empirical study of an application of deep learning techniques in Sentiment Analysis (SA) for sarcastic messages and their increasing scope in real time. Taxonomy of the sentiment analysis in recent times and their key terms are also been highlighted in the manuscript. The survey concludes the recent datasets considered, their key contributions and the performance of deep learning model applied with its primary purpose like sarcasm detection in order to describe the efficiency of deep learning frameworks in the domain of sentimental analysis.

scholarly journals Komparasi Algoritma Naive Bayes Dengan Algoritma Genetika Pada Analisis Sentimen Pengguna Busway

2019 ◽  
Vol 5 (2) ◽  
pp. 227-234
Author(s):  
Riska Aryanti ◽  
Atang Saepudin ◽  
Eka Fitriani ◽  
Rifky Permana ◽  
Dede Firmansyah Saefudin
Keyword(s):  
Genetic Algorithm ◽  
Social Media ◽  
Sentiment Analysis ◽  
Web Site ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Classification Algorithm ◽  
The Social ◽  
The Will ◽  
Research Classification

Congestion major cities in Indonesi caused by the proliferation of the use of private vehicles. Some expressing he thinks about busway user through the social media and other web site, This opinion can be used as a sentiment analysis to see if the user busway proposes a review of positive or negative. The results of the analysis sentiment can help in the sight of and evaluate the use of busway, also expected to improve and transjakarta facility from so they tend to have an opinion positive. Based on the results of the analysis, sentiment it is hoped people will switch to using the will of course will reduce congestion. In the study also added the stages preprocesing by using the framework gataframework to complete the process that cannot be done on tools rapidminer. The methodology that was used in this research was it is anticipated that analysis the sentiment of the by the application of an genetic algorithm for an election features with an algorithm naive bayes. From the results of the testing to the case in research it is found that classification algorithm naive bayes based genetic algorithm having the kind of accuracy that good enough 88,55 % and value of auc reached 0,813 % with the level of the diagnosis classifications good. So that in this research classification algorithm naive bayes based genetic algorithm can be recommended as algorithms classifications good enough to analyze the busway user sentimen. Based on analysis is expected to private transport users will switch to using the busway will reduce congestion

scholarly journals ILMU MENDIDIK TEORETIS: BIJAK DALAM BERMEDIA SOSIAL

MOTORIC ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Bustomi Arifin
Keyword(s):  
Social Media ◽  
Educational Science ◽  
Critical Attitude ◽  
The People ◽  
The World ◽  
Negative Impacts ◽  
Almost All ◽  
Key Terms ◽  
To Receive ◽  
Descriptive Method

Social media today is a medium that many access by almost all levels of society in Indonesia. This is because almost all levels of society can easily access social media. Ease in social media makes all the people of Indonesia easy to receive information from all over Indonesia and the world. Ease in accessing social media and the opening of information gates through social media encourages the birth of irresponsible elements by disseminating information that is inconsistent with the reality. The issue is growing rapidly among the people of Indonesia, it is given the lack of selective and critical attitude of the people of Indonesia in receiving information contained in social media. Negative impacts that may arise may arise related to selective and critical attitude in receiving information on social media is the diminution of national resilience values. The above issues become the basis of reference for authors in compiling this article. It uses the descriptive method of analysis by using an understanding that Prof. Driyakarna is theoretical educational science. It is expected to encourage Indonesian people to be more selective and critical of information spread across various social media. Key Terms: Social Media, Indonesian Society, Selective, Theoretical Educational Science

scholarly journals REALITAS PENYIMPANGAN SOSIAL DALAM KONTEKS CYBER SEXUAL HARRASMENT PADA JEJARING SOSIAL LIVE STREAMING BIGO LIVE

2020 ◽  
Vol 4 (2) ◽  
pp. 21-39
Author(s):  
Abdul Munir ◽  
Riki Harianto
Keyword(s):  
Social Media ◽  
Routine Activities ◽  
The Internet ◽  
Live Streaming ◽  
Visual Methods ◽  
The People ◽  
Norms And Values ◽  
The World ◽  
Community Forum ◽  
Internet Community

live streaming is a latest innovation for people to express themselves and exchange ideas. The current social media that is becoming a trend among the people and using live streaming as a means to interact is social media live streaming Bigo live. The existence of bigo live as an internet community forum (Cyber Community) certainly changes in the norms and values ​​adopted by these users, so it cannot be denied that in the internet community (Cyber Community) there are changes and rules that occur . One of them appears an interaction created virtually in the world, where the emergence of a form of deviation that occurs in social media live streaming bigo live, one of which is cyber sexual harassment. The method used in this study uses visual methods. The theory used in this paper is the theory of routine activities where observations take place and observe every bigo live social media user.

scholarly journals Distinguished Features of Islamic Culture and Its Impacts and Blessings on the World

rahatulquloob ◽  
2020 ◽  
pp. 13-27
Author(s):  
Syed Ayaz Ahmed Shah ◽  
Dr. Zahida Parveen
Keyword(s):  
Analytical Study ◽  
Research Paper ◽  
Human Being ◽  
Way Of Life ◽  
Islamic Culture ◽  
The People ◽  
The World ◽  
Entire World

Our world has numerous cultures. It represents the nation’s way of life and the values they have. It is the typical of every nation to try its best to protect its culture and colure other nations in its own culture. Due to such intentions there is always a war between these nations to ruin the culture of another and to make its culture prominent everywhere, however the world doesn’t allow another culture to enter in, by force. It needs that the ruler culture must have high values to admit others to follow it. If we have an analytical study of various cultures, we can find that there were many cultures that tried to dominate the entire world but due to many faults in them, they were not accepted by human being. It was only Islamic culture that was accepted whole heartedly by all. Because it was the first culture that brought prosperity to the people. It gave them recognition and strengthened them. The following research paper consists of introduction of Culture, its history, after that I have focused on Islamic Culture, its prominent features and its impact and blessing on humanity.

scholarly journals Analisis Kritik Sastra Feminis dalam Cerpen Catatan Hati Yang Cemburu Karya Asma Nadia

2020 ◽  
Vol 15 (4) ◽  
pp. 535-545
Author(s):  
Suaibatul Aslamiyah ◽  
Suci Nadilla ◽  
Cindy Aprilia Pratami
Keyword(s):  
Social Media ◽  
Literary Criticism ◽  
Value Of Life ◽  
Feminist Literary Criticism ◽  
The People ◽  
The World ◽  
History Of ◽  
Qualitative Descriptive ◽  
Universal Values ◽  
The Subject

Art has opened the eyes of the world throught literary works that record the history of a writing. Also the subject of women’s affairs is subject to an author’s reference to the problem of a sense of injustice. Such views have been discussed to voice gender equality and to seek efforts to overcome those problems. Nadia’s asthma is one of the authors who attempt to awaken women to the patriarchate system that has been going on. His works consistently incorporate such universal values as equality in various fields, human freedom, and tolerance so that his readers can adopt the value of life. In addition, she was actively involved in social media as a means of channeling her mind. The twitter feed says some of the people were repressed. Seeing the account encourage him to make a book and then be poured into a storybook of several different stories and in which one of the women’s true account t with the tittle of a jealous heart note. The study used qualitative descriptive methods with the theory of feminist literary criticism.

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