Results 31 to 40 of about 4,162 (252)
GRUvader: Sentiment-Informed Stock Market Prediction
Stock price prediction is challenging due to global economic instability, high volatility, and the complexity of financial markets. Hence, this study compared several machine learning algorithms for stock market prediction and further examined the ...
Akhila Mamillapalli +3 more
doaj +1 more source
Economic sentiment indicators and their prediction capabilities in business cycles of EU countries
Research background: The post-World Financial Crisis period has showed us that an application of the qualitative data focused on the expectations of the enterprises and consumers in a combination with the quantitative data in the individual economy sectors is a good prerequisite for reliable prediction of the economic cycles.
Andrea Tkacova, Beata Gavurova
openaire +1 more source
Prediction of the economy in global markets is of crucial importance for individuals, decisionmakers, and policies. To this end, effectiveness in modeling and forecasting the directions of such leading indicators is of crucial importance.
Melike Bildirici +2 more
doaj +1 more source
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Estimating the Romanian Economic Sentiment Indicator Using Artificial Intelligence Techniques [PDF]
The subject of the present paper represents the result of a research that uses artificial intelligence, through the artificial neural networks, in order to simulate the Romanian Economic Sentiment Indicator (ESI-mentioned by The Economist and provided by the European Commission – Economic and Financial Affairs website).
Constantin Ilie +3 more
openaire +1 more source
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Using Economic Barometers to Analyze the Impact of the COVID-19 Pandemic on the National Economies
Bearing in mind a number of factors, well-known analytical companies and individual economists have been warning over a long time about the impending recession of the global economy.
М. V. Puhachova
doaj +1 more source
Predicting Economic Indicators from Web Text Using Sentiment Composition [PDF]
Of late there has been a significant amount of work on using sources of text data from the Web (such as Twitter or Google Trends) to predict financial and economic variables of interest. Much of this work has relied on some form or other of superficial sentiment analysis to represent the text.
Levenberg, A +4 more
openaire +2 more sources
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
Constructing Daily Economic Sentiment Indices Based on Google Trends
KOF Working Papers ...
Eichenauer, Vera +3 more
openaire +4 more sources

