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.

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.

scholarly journals Condolence strategy used by Facebook user to respond obituary news

2021 ◽  
Vol 10 (1) ◽  
pp. 34-41
Author(s):  
Shahibul Muttaqien Al-Manduriy
Keyword(s):  
Social Media ◽  
Personal Information ◽  
Negative Response ◽  
Human Communication ◽  
Good Person ◽  
Descriptive Research ◽  
The People ◽  
Technological Advances ◽  
The World ◽  
Share Information

Technology has changed the world of human communication today. News, information, and issues are delivered through technological advances with incredible speed. Social media such as Facebook are one of many technology mediators used by the people in the world to share information. This information can be in many forms, such as personal information, selling information, obituary information and etc. Obituary information is shared by the people on Facebook and responded to by other people with various responses. This study is descriptive research to find the strategy used by people in the Indonesian context while responding to the obituary updated on Facebook. The subjects are lecturer’s wife, artist, and an abortion girl. This study has described the responses from Facebook users as the strategy in responding to the obituary. The finding of this study showed that the condolence strategy used always depends on the person who dies itself. The person who is seen as the good person will have a good response, while someone who is seen as a bad person, in this case, the girl who did an abortion, has a positive and negative response.

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.

Social Media Marketing Web X.0 of Opportunities

2010 ◽  
pp. 2305-2316
Author(s):  
Lemi Baruh
Keyword(s):  
Social Media ◽  
Semantic Web ◽  
Online Advertising ◽  
Viral Marketing ◽  
Social Media Marketing ◽  
Successful Implementation ◽  
Future Trends ◽  
The World ◽  
Advertising Models ◽  
Media Applications

In recent years social media applications, which enable consumers to contribute to the world of online content, have grown in popularity. However, this growth is yet to be transformed into a sustainable commercial model. Starting with a brief overview of existing online advertising models, this chapter discusses the opportunities available for advertisers trying to reach consumers through social media. The chapter focuses on viral marketing as a viable option for marketers, reviews recent viral marketing campaigns, and offers recommendations for a successful implementation of social media marketing. In conclusion, the author examines future trends regarding the utilization of the emerging Semantic Web in marketing online.

Keeping it peaceful: Twitter and the Gezi Park movement

2020 ◽  
Vol 5 (3-4) ◽  
pp. 149-163
Author(s):  
Fatih Demir ◽  
Mehmet F Bastug ◽  
Aziz Douai
Keyword(s):  
Social Media ◽  
Communication Tools ◽  
Challenging Issue ◽  
The World ◽  
Social Media Platforms ◽  
Violent Acts ◽  
Share Information ◽  
Police Forces

Over the last decade, social media platforms have become the leading communication tools for activists and protesters all over the world. Understanding protesters’ motivations and reasons for using social media is a challenging issue for researchers. In this article, we analyzed the use of Twitter during the anti-governmental protests in Istanbul that was launched in May 2013. We examined 13,794 tweets posted to the #direngeziparki hashtag over a 6-day period. Based on the results of a qualitative content coding of the tweets, we found that the Twitter platform was widely used to mobilize protesters, share information about the events, and express opinions about the policing of the protests. We argue that social media can help keep protests peaceful by preventing vandalism, informing the protesters about extremist or violent groups participating in the protests, and can help them to avoid engaging in violent acts against police forces.

scholarly journals Social Media about the Company's Image as an Element of Specific Development

2021 ◽  
Author(s):  
Justyna Żywiołek
Keyword(s):  
Social Media ◽  
Consumer Satisfaction ◽  
Positive Impact ◽  
Kano Model ◽  
Banking Services ◽  
The World ◽  
Corporate Social ◽  
The Impact ◽  
Near Future

Personalization, mobility, artificial intelligence, corporate life transferred to the world in social media - all these elements will shape corporate social media in the near future. It is necessary to consider what features and what standards of behaviour enterprises will have to meet in order to build an image in the world of social media and adapt to the preferences and requirements of the client. Corporate social media has been created to support clients in using various services, give them the possibility of easy communication without time and place barriers. Therefore, high-quality corporate social media profiles significantly affect trust in the company and can affect its reputation. Considering that the aim of the article is to examine the impact of social media on the image of the company, various exchanges of perception of the quality of corporate social media, the risks they bring for the company and the perception of them by customers, which gives the image, were examined. The results of empirical research indicate that the secu-rity, simplicity and variety of m-banking services have a significant impact on the perceived qu-ality, which in turn has a positive impact on reputation. The author proposed a methodology based on the Kano model and customer satisfaction in order to examine the declared needs and unspecified desires and divide them into different groups with different impact on consumer satisfaction. The study took the form of an original, universal questionnaire that can be used in other similar studies. The analysis included 861 correctly completed questionnaires, and the ob-tained results were included in the management's action plans after their submission. Enterpri-ses expressed their interest that the measures taken should be reviewed after one to two years.

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

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