Review of social media analytics process and big data pipeline
Social media analytics is a research axis focused on extracting useful insights from social
media data, with the aim of helping individuals and organizations take the most optimum …
media data, with the aim of helping individuals and organizations take the most optimum …
Analysis of political discourse on twitter in the context of the 2016 US presidential elections
Social media now plays a pivotal role in electoral campaigns. Rapid dissemination of
information through platforms such as Twitter has enabled politicians to broadcast their …
information through platforms such as Twitter has enabled politicians to broadcast their …
[HTML][HTML] Sentiment analysis of before and after elections: Twitter data of us election 2020
US President Joe Biden took his oath after being victorious in the controversial US elections
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …
of 2020. The polls were conducted over postal ballot due to the coronavirus pandemic …
Politics, sentiments, and misinformation: An analysis of the Twitter discussion on the 2016 Austrian Presidential Elections
E Kušen, M Strembeck - Online Social Networks and Media, 2018 - Elsevier
In this paper, we provide a sentiment analysis of the Twitter discussion on the 2016 Austrian
presidential elections. In particular, we extracted and analyzed a data-set consisting of …
presidential elections. In particular, we extracted and analyzed a data-set consisting of …
[HTML][HTML] Public opinion monitoring through collective semantic analysis of tweets
The high popularity of Twitter renders it an excellent tool for political research, while opinion
mining through semantic analysis of individual tweets has proven valuable. However …
mining through semantic analysis of individual tweets has proven valuable. However …
Location-based sentiment analyses and visualization of Twitter election data
In this article, we perform sentiment analyses of Twitter location data. We use two case
studies: US presidential elections of 2016 and UK general elections of 2017. For US …
studies: US presidential elections of 2016 and UK general elections of 2017. For US …
Predicting election results from twitter using machine learning algorithms
Y Sucharitha, Y Vijayalata… - Recent Advances in …, 2021 - ingentaconnect.com
Introduction: In the present scenario, the social media network plays a significant role in
sharing information between individuals. This incorporates information about news and …
sharing information between individuals. This incorporates information about news and …
Analyzing Brexit's impact using sentiment analysis and topic modeling on Twitter discussion
In this paper we evaluate public sentiment and opinion on Brexit during September and
October 2019 by collecting over 16 million user messages from Twitter-world's largest online …
October 2019 by collecting over 16 million user messages from Twitter-world's largest online …
[HTML][HTML] A large-scale sentiment analysis of tweets pertaining to the 2020 US presidential election
We capture the public sentiment towards candidates in the 2020 US Presidential Elections,
by analyzing 7.6 million tweets sent out between October 31st and November 9th, 2020. We …
by analyzing 7.6 million tweets sent out between October 31st and November 9th, 2020. We …
Analysis and visualization of subjectivity and polarity of Twitter location data
Increased use of Twitter by a large number of users has resulted in an unprecedented
growth in the generation of user created data. This data is now being analyzed in various …
growth in the generation of user created data. This data is now being analyzed in various …