Real Time Sentiment Analysis

2020 ◽  
Vol 11 (1) ◽  
pp. 27-35
Author(s):  
Sandip Palit ◽  
Soumadip Ghosh
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Real Time ◽  
Unstructured Data ◽  
Societal Issues ◽  
The Social ◽  
The World ◽  
Social Media Platforms ◽  
Primary Medium ◽  
Different Parts

Data is the most valuable resource. We have a lot of unstructured data generated by the social media giants Twitter, Facebook, and Google. Unfortunately, analytics on unstructured data cannot be performed. As the availability of the internet became easier, people started using social media platforms as the primary medium for sharing their opinions. Every day, millions of opinions from different parts of the world are posted on Twitter. The primary goal of Twitter is to let people share their opinion with a big audience. So, if the authors can effectively analyse the tweets, valuable information can be gained. Storing these opinions in a structured manner and then using that to analyse people's reactions and perceptions about buying a product or a service is a very vital step for any corporate firm. Sentiment analysis aims to analyse and discover the sentiments behind opinions of various people on different subjects like commercial products, politics, and daily societal issues. This research has developed a model to determine the polarity of a keyword in real time.

Paradigm Shift for the Future

2021 ◽  
pp. 173-201
Keyword(s):  
Social Media ◽  
Case Studies ◽  
Paradigm Shift ◽  
Political Influence ◽  
Political Events ◽  
The Social ◽  
The World ◽  
The Future ◽  
Social Media Platforms ◽  
The Way

Through case studies of incidents around the world where the social media platforms have been used and abused for ulterior purposes, Chapter 6 highlights the lessons that can be learned. For good or for ill, the author elaborates on the way social media has been used as an arbiter to inflict various forms of political influence and how we may have become desensitized due to the popularity of the social media platforms themselves. A searching view is provided that there is now a propensity by foreign states to use social media to influence the user base of sovereign countries during key political events. This type of activity now justifies a paradigm shift in relation to our perception and utilization of computerized devices for the future.

scholarly journals AthPPA: A Data Visualization Tool for Identifying Political Popularity over Twitter

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 312
Author(s):  
Alexandros Britzolakis ◽  
Haridimos Kondylakis ◽  
Nikolaos Papadakis
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Real Time ◽  
Data Visualization ◽  
Visualization Tool ◽  
Political Leaders ◽  
Political Event ◽  
Data Analyst ◽  
Industrial Sectors ◽  
Social Media Platforms

Sentiment Analysis is an actively growing field with demand in both scientific and industrial sectors. Political sentiment analysis is used when a data analyst wants to determine the opinion of different users on social media platforms regarding a politician or a political event. This paper presents Athena Political Popularity Analysis (AthPPA), a tool for identifying political popularity over Twitter. AthPPA is able to collect in-real-time tweets and for each tweet to extract metadata such as number of likes, retweets per tweet etc. Then it processes their text in order to calculate their overall sentiment. For the calculation of sentiment analysis, we have implemented a sentiment analyzer that is able to identify the grammatical issues of a sentence as well as a lexicon of negative and positive words designed specifically for political sentiment analysis. An analytic engine processes the collected data and provides different visualizations that provide additional insights on the collected data. We show how we applied our framework to the three most prominent Greek political leaders in Greece and present our findings there.

scholarly journals Reviewing Sentiment Analysis at the Shallow End

2020 ◽  
Vol 8 (4) ◽  
pp. 47-62
Author(s):  
Francisca Oladipo ◽  
Ogunsanya, F. B ◽  
Musa, A. E. ◽  
Ogbuju, E. E ◽  
Ariwa, E.
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Sentiment Analysis ◽  
Information Exchange ◽  
Training Data ◽  
Data Set ◽  
The Social ◽  
Machine Learning Approach ◽  
Media Space ◽  
Social Media Platforms

The social media space has evolved into a large labyrinth of information exchange platform and due to the growth in the adoption of different social media platforms, there has been an increasing wave of interests in sentiment analysis as a paradigm for the mining and analysis of users’ opinions and sentiments based on their posts. In this paper, we present a review of contextual sentiment analysis on social media entries with a specific focus on Twitter. The sentimental analysis consists of two broad approaches which are machine learning which uses classification techniques to classify text and is further categorized into supervised learning and unsupervised learning; and the lexicon-based approach which uses a dictionary without using any test or training data set, unlike the machine learning approach.  

scholarly journals Internet Trolling: Analyzing The Legal Myths And Facts

2019 ◽  
Vol 8 (5C) ◽  
pp. 1429-1431 ◽  
Keyword(s):  
Social Media ◽  
The Internet ◽  
The Social ◽  
The World ◽  
Social Media Platforms ◽  
Internet And Social Media

The internet and social media is bringing the world closer. It keeps us connected as it is not possible for people to carry any social visits personally due to their hectic schedule. However trolling is a menace in the age of internet and social media. Some people with malicious intentions tend to misuse the social media platforms and thereby cause trouble to other innocent users. Therefore a person who opens an account on social media shall behave in a civilized way and use the social media in decent way so that there is no trouble caused to other social media users.

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).

#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.

Coda

2017 ◽  
Author(s):  
Christopher Grobe
Keyword(s):  
Social Media ◽  
New Media ◽  
Raw Material ◽  
Columbia University ◽  
Campus Sexual Assault ◽  
New Media Art ◽  
The Social ◽  
The World ◽  
Social Media Platforms ◽  
The Individual

Social media platforms have made confessional speech both ubiquitous and mundane. What, you might ask, is the value of a solo voice amid all this aggregated clamor? This coda begins by comparing several examples of new media art, all of which take others’ social media output as the raw material for art: Jonathan Harris and Sep Kamvar’s data-visualization site We Feel Fine (2005), Penelope Umbrico’s Suns from Sunsets from Flickr (2006–present), and Natalie Bookchin’s Testament (2009–present). All of these projects use social media to think through contemporary relations between the individual and the social or political. And so I end by considering what they might have to tell us about confessional politics as they’re practiced in the age of social media: e.g., Occupy Wall Street’s “We are the 99%” meme, the “mattress protests” against campus sexual assault started by Emma Sulkowicz of Columbia University, and a public forum held at Amherst College during the antiracist Uprising of 2015. All of these protests began as local acts, but then reached the world via the Internet. What happens when confessions like these travel through channels that have made confession so mundane?

Clubhouse Experience

2022 ◽  
pp. 244-264
Author(s):  
Ipek Deveci Kocakoç ◽  
Pınar Özkan
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Sentiment Analysis ◽  
Supervised Learning ◽  
European Countries ◽  
Media Messages ◽  
The Social ◽  
Social Media Platforms ◽  
Learning By Using

Clubhouse is an invitation-only social networking application that differs from the usual social media platforms in that it is “audio only.” In this chapter, the sentiments in the social media messages about Clubhouse in the classic SMPs are examined by supervised learning (by using Hugging Face Transformer Library), and the user feelings are analyzed. Because Turkey is in the first ranks among European countries in terms of both the number of social media users and the number of messages, the analysis is conducted using the Turkish users. Mentions of Clubhouse have begun on Twitter and Sourtimes platforms in Turkey in early 2021. In this study, the aim is to demonstrate how Clubhouse, a new and different SMP, is evaluated by Twitter and Sourtimes users and to reveal user thoughts about this SMP along the timeline by using sentiment analysis.

scholarly journals Emotional Analysis of Bogus Statistics in Social Media

2020 ◽  
Vol 2 (3) ◽  
pp. 178-186
Author(s):  
Dr. Wang Haoxiang
Keyword(s):  
Neural Network ◽  
Social Media ◽  
Recurrent Neural Network ◽  
Research Work ◽  
Vital Role ◽  
Information Analysis ◽  
The Social ◽  
The World ◽  
Social Media Platforms ◽  
The Impact

Fake info or bogus statistics is a new term and it is now considered as a greatest threat to democracy. Since the world is full of surprises and humans have developed their delicate nature to detect unexcepted information. Social media plays a vital role in information spreading, since the impact towards fake information has gained more attention due to the social media platforms. Trending the hot topic without analyzing the information will introduce great impact over millions of people. So, it is essential to analyze the message and its truthfulness. Emotional analysis is an important factor in bogus statistics as the information gets reshared among other based on individual emotions. Considering these facts in social media information analysis, an efficient emotional analysis for bogus statistics in social media is proposed in this research work using recurrent neural network. In an emotional perspective, fake messages are compared with actual message and false messages are identified experimentally using recurrent neural network.

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