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How Subjective Well-being Evolved Over Time: Insights from Bibliometric and Text Mining Analyses
The work investigates the evolution of subjective well-being research based on bibliometric analysis and text mining techniques. It provides a...
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Text Mining Oral Histories in Historical Archaeology
Advances in text mining and natural language processing methodologies have the potential to productively inform historical archaeology and oral...
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Informing policy with text mining: technological change and social challenges
This study presents an innovative text mining methodology that supports policy analysts with problem recognition, definition and selection. The...
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Qualitative content analysis of Nigerian heads-of-state and presidents’ inaugural addresses: text mining, topic modelling and sentiment analysis
Political speech acts are critical for politicians launching a regime because they can provide information that can be used to control people's...
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The interactive Leipzig Corpus Miner: An extensible and adaptable text analysis tool for content analysis
We present the interactive Leipzig Corpus Miner (iLCM), which is the result of the development of an integrated research environment for the analysis...
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A text mining and machine learning study on the trends of and dynamics between collective action and mental health in politically polarized online environments
Social media and online forums play an increasingly important role in the mobilization of collective action. This study examined how the discussion...
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Understanding the social construction of juvenile delinquency: insights from semantic analysis of big-data historical newspaper collections
Massive historical newspaper collections contain rich information about the historical development of social issues and constitute a unique resource...
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Insights from the COVID-19 Pandemic: A Survey of Data Mining and Beyond
AbstractThe global health crisis of COVID-19 has ushered in an era of unprecedented data generation, encompassing the virus’s transmission patterns,...
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Using text mining algorithms in identifying emerging trends for recommender systems
Recommendation systems as the main e-commerce tools play an important role in business survival. Therefore, recommender systems and their challenges...
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Comparing public responses to apologies: examining crisis communication strategies using network analysis and topic modeling
This study aims to explore public perceptions and emotions toward crisis response strategies when unethical business practices occur. United...
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‘Geophysical Surveying’: Recursive Surface ‘Thematic’ Map** Using Data Mining Tools
The focus of this chapter is on step two of the breadth-and-depth method. Continuing our archaeological metaphor, this comprises the use of data...
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Text-based automatic personality prediction: a bibliographic review
Personality detection is an old topic in psychology and automatic personality prediction (or perception) (APP) is the automated (computationally)...
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Framing climate change in Nature and Science editorials: applications of supervised and unsupervised text categorization
Hulme et al. (Nat Clim Change, 8:515–521, 2018) manually coded ‘frames’ in 490 Nature and Science editorials (1966–2016) they found relevant for...
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Automated measures of sentiment via transformer- and lexicon-based sentiment analysis (TLSA)
The last decade witnessed the proliferation of automated content analysis in communication research. However, existing computational tools have been...
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Identification of intimate partner violence from free text descriptions in social media
Intimate partner violence (IPV) is a significant public health problem that adversely affects the well-being of victims. IPV is often under-reported...
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‘Test Pit Sampling’: Preliminary Analysis
This chapter is concerned with step three in our method and the process of moving from breadth to depth by sampling the features of interest...
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Dictionary-based sentiment analysis of monetary policy communication: on the applicability of lexicons
In this study, we discuss central bank communication sentiments assessed using different dictionaries. Policy communication by monetary authorities...
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Enhanced sentiment analysis regarding COVID-19 news from global channels
For a healthy society to exist, it is crucial for the media to focus on disease-related issues so that more people are widely aware of them and...
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How to improve academic well-being: an analysis of the leveraging factors based on the Italian case
At first glance, for those who start out in it the academic environment may seem attractive, but they soon experience the difficulties inherent in...
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Data Mining and Knowledge Discovery
Our physical world is being projected into online cyberspace at an unprecedented rate. People nowadays visit different places and leave behind them...