Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

GA Ruz, PA Henríquez, A Mascareño - Future Generation Computer …, 2020 - Elsevier
Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

Doing qualitative research online

J Salmons - 2021 - torrossa.com
New to online research? This book will give you the foundation you need to confidently
design and conduct a project using internet methods. First providing an overview of online …

Machine classification and analysis of suicide-related communication on twitter

P Burnap, W Colombo, J Scourfield - … of the 26th ACM conference on …, 2015 - dl.acm.org
The World Wide Web, and online social networks in particular, have increased connectivity
between people such that information can spread to millions of people in a matter of …

Sociology of Twitter/X: Trends, Challenges, and Future Research Directions

D Murthy - Annual Review of Sociology, 2024 - annualreviews.org
This article provides a sociology of Twitter (now known as X) and charts the development of
the study of the platform and its data in sociological venues through an analysis of 1,644 …

The president is in: Public opinion and the presidential use of Twitter

P Pain, G Masullo Chen - Social Media+ Society, 2019 - journals.sagepub.com
Analyzing President Trump's Tweets (N= 30,386) with the first tweet starting from 4 May
2009, this article looks at the nature of his conversations with the public and the building of …

[HTML][HTML] Tracking the Werther Effect on social media: Emotional responses to prominent suicide deaths on twitter and subsequent increases in suicide

RA Fahey, T Matsubayashi, M Ueda - Social Science & Medicine, 2018 - Elsevier
Rises in suicide rates following media reports of the deaths by suicide of public figures are a
well-documented phenomenon. However, it remains unclear why, or by what exact …

A lexicon-based approach to detecting suicide-related messages on Twitter

SM Sarsam, H Al-Samarraie, AI Alzahrani… - … Signal Processing and …, 2021 - Elsevier
Expression of emotion is an indicator that can contribute to the detection of mental health-
related disorders. Suicide causes death to many people around the globe, and despite the …

Requirements for big data adoption for railway asset management

P McMahon, T Zhang, R Dwight - Ieee Access, 2020 - ieeexplore.ieee.org
Nowadays, huge amounts of data have been captured along with the day-to-day operation
of assets including railway systems. Hence, we have come to the era of big data. The …

Toward a posthumanist ethics of qualitative research in a big data era

NS Mauthner - American Behavioral Scientist, 2019 - journals.sagepub.com
The Big Data phenomenon, and its uptake in qualitative research, raises ethical issues
around data aggregation, data linkages, and data anonymization as well as concerns …

What tears couples apart: A machine learning analysis of union dissolution in Germany

B Arpino, M Le Moglie, L Mencarini - Demography, 2022 - read.dukeupress.edu
This study contributes to the literature on union dissolution by adopting a machine learning
(ML) approach, specifically Random Survival Forests (RSF). We used RSF to analyze data …