Text preprocessing for text mining in organizational research: Review and recommendations

L Hickman, S Thapa, L Tay, M Cao… - Organizational …, 2022 - journals.sagepub.com
Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …

[HTML][HTML] Twitter as a predictive system: a systematic literature review

E Cano-Marin, M Mora-Cantallops… - Journal of Business …, 2023 - Elsevier
Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …

Psychological targeting as an effective approach to digital mass persuasion

SC Matz, M Kosinski, G Nave… - Proceedings of the …, 2017 - National Acad Sciences
People are exposed to persuasive communication across many different contexts:
Governments, companies, and political parties use persuasive appeals to encourage people …

[图书][B] Consumer Psychology 2e

C Jansson-Boyd - 2019 - books.google.com
• Why do people behave and think the way they do?• What makes people choose certain
products and services?• How does consumption affect our everyday lives? Informed by …

Using machine learning to predict decisions of the European Court of Human Rights

M Medvedeva, M Vols, M Wieling - Artificial Intelligence and Law, 2020 - Springer
When courts started publishing judgements, big data analysis (ie large-scale statistical
analysis of case law and machine learning) within the legal domain became possible. By …

The age of surveillance capitalism

S Zuboff - Social theory re-wired, 2023 - taylorfrancis.com
Behavioral surplus defines Google's earnings success. In 2016, 89 percent of the revenues
of its parent company, Alphabet, derived from Google's targeted advertising programs. The …

COVID-19 sentiment analysis via deep learning during the rise of novel cases

R Chandra, A Krishna - PloS one, 2021 - journals.plos.org
Social scientists and psychologists take interest in understanding how people express
emotions and sentiments when dealing with catastrophic events such as natural disasters …

Personality, gender, and age in the language of social media: The open-vocabulary approach

HA Schwartz, JC Eichstaedt, ML Kern, L Dziurzynski… - PloS one, 2013 - journals.plos.org
We analyzed 700 million words, phrases, and topic instances collected from the Facebook
messages of 75,000 volunteers, who also took standard personality tests, and found striking …

Private traits and attributes are predictable from digital records of human behavior

M Kosinski, D Stillwell… - Proceedings of the …, 2013 - National Acad Sciences
We show that easily accessible digital records of behavior, Facebook Likes, can be used to
automatically and accurately predict a range of highly sensitive personal attributes including …

Designing personality-adaptive conversational agents for mental health care

R Ahmad, D Siemon, U Gnewuch… - Information Systems …, 2022 - Springer
Millions of people experience mental health issues each year, increasing the necessity for
health-related services. One emerging technology with the potential to help address the …