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Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …
Improving cyberbullying detection using Twitter users' psychological features and machine learning
Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …
Sentiment of emojis
There is a new generation of emoticons, called emojis, that is increasingly being used in
mobile communications and social media. In the past two years, over ten billion emojis were …
mobile communications and social media. In the past two years, over ten billion emojis were …
The effects of Twitter sentiment on stock price returns
G Ranco, D Aleksovski, G Caldarelli, M Grčar… - PloS one, 2015 - journals.plos.org
Social media are increasingly reflecting and influencing behavior of other complex systems.
In this paper we investigate the relations between a well-known micro-blogging platform …
In this paper we investigate the relations between a well-known micro-blogging platform …
Twitter as a tool for citizen engagement: An empirical study of the Andalusian municipalities
This paper provides a general overview of the way local governments use Twitter as a
communication tool to engage with their citizens. More concretely, it tries to identify factors …
communication tool to engage with their citizens. More concretely, it tries to identify factors …
Multilingual Twitter sentiment classification: The role of human annotators
I Mozetič, M Grčar, J Smailović - PloS one, 2016 - journals.plos.org
What are the limits of automated Twitter sentiment classification? We analyze a large set of
manually labeled tweets in different languages, use them as training data, and construct …
manually labeled tweets in different languages, use them as training data, and construct …
A novel adaptable approach for sentiment analysis on big social data
Gathering public opinion by analyzing big social data has attracted wide attention due to its
interactive and real time nature. For this, recent studies have relied on both social media and …
interactive and real time nature. For this, recent studies have relied on both social media and …
Politics, sentiments, and misinformation: An analysis of the Twitter discussion on the 2016 Austrian Presidential Elections
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 …
Stance and influence of Twitter users regarding the Brexit referendum
M Grčar, D Cherepnalkoski, I Mozetič… - Computational social …, 2017 - Springer
Social media are an important source of information about the political issues, reflecting, as
well as influencing, public mood. We present an analysis of Twitter data, collected over 6 …
well as influencing, public mood. We present an analysis of Twitter data, collected over 6 …
What Tweets and YouTube comments have in common? Sentiment and graph analysis on data related to US elections 2020
Most studies analyzing political traffic on Social Networks focus on a single platform, while
campaigns and reactions to political events produce interactions across different social …
campaigns and reactions to political events produce interactions across different social …