Visual interpretation of deep deterministic policy gradient models for energy consumption prediction DOI
Huixue Wang, Yunzhe Wang, You Lü

et al.

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 79, P. 107847 - 107847

Published: Sept. 27, 2023

Language: Английский

Tourism, automation and responsible consumption and production: a horizon 2050 paper DOI
Stanislav Ivanov, Faruk Seyitoğlu, Craig Webster

et al.

Tourism Review, Journal Year: 2024, Volume and Issue: unknown

Published: April 18, 2024

Purpose By focusing on Sustainable Development Goal 12 (SDG 12) and tourism automation, this perspective paper aims to investigate how automation will work create a world in which has more sustainable production consumption patterns. Design/methodology/approach This reviews the past developments of context patterns, lessons learned from COVID-19 pandemic looks at future help it be terms Findings The insights analysis suggest that technologies play major role both supply demand sides hospitality industry, encouraging increased sustainability. While have greatest impact side near future, as such used minimise waste energy usage, creating large gains for environmental protection, also benefit responsible consumption. Big data analytical ways ensure consumers are nudged into consumer practices increasingly sustainable. Originality/value synthesises literature subjects, namely, SDG tourism, points important new research agenda. is one first papers blend shed light use tourism.

Language: Английский

Citations

4

Does participation in CSA affect consciousness and sustainable behavior of consumers? The evidence from a longitudinal study DOI Creative Commons
Aldona Glińska‐Neweś, Paweł Brzustewicz, Iwona Escher

et al.

Food Quality and Preference, Journal Year: 2025, Volume and Issue: unknown, P. 105467 - 105467

Published: Feb. 1, 2025

Language: Английский

Citations

0

Comparison of consumer perceptions of sustainable and ethical fashions pre- and post-COVID-19 using LDA topic modeling DOI Creative Commons
Eunjung Shin,

Sora Yim,

Amanda Koh

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 19, 2025

Language: Английский

Citations

0

Analysis of China’s fertility policy based on the LDA-Word2Vec model DOI Open Access

Zhang Yifan,

Bagirova Anna Petrovna

Chinese Public Administration Review, Journal Year: 2025, Volume and Issue: unknown

Published: April 19, 2025

This study employs an innovative combination of Latent Dirichlet Allocation (LDA) and Word2Vec models to analyze Chinese fertility policy texts spanning 75 years. Through the examination 197 documents, this identifies 12 distinct themes within China’s policies, ranging from family planning population management healthcare services social security. The analysis reveals three major evolutionary routes in development: transition basic comprehensive medical security, transformation reproductive welfare development integrated system. demonstrates how policies have evolved focusing primarily on control encompassing broader aspects welfare, healthcare, support. By applying coherence scores determine optimal topic numbers analyzing theme evolution across historical periods (1949–1979, 1980–2012, 2013–2024), research provides valuable insights into changing priorities approaches policy. contributes understanding complex interplay between management, development, public health landscape.

Language: Английский

Citations

0

A critical review of social media research in sensory-consumer science DOI
Scott C. Hutchings, Yash Dixit,

Mahmoud Al-Sarayreh

et al.

Food Research International, Journal Year: 2023, Volume and Issue: 165, P. 112494 - 112494

Published: Jan. 27, 2023

Language: Английский

Citations

10

Understanding Climate Change and Air Quality Over the Last Decade: Evidence From News and Weather Data Processing DOI Creative Commons
Alin-Gabriel Văduva, Mihai Munteanu, Simona‐Vasilica Oprea

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 144631 - 144648

Published: Jan. 1, 2023

Climate change is a phenomenon that sometimes denied or trivialized. However, in recent years, we have faced extreme phenomena such as fires, floods, excessive temperatures, etc. which affect our physical and mental condition the environment, often leading to significant material damage. To understand these problems highlight meteorological phenomenological changes encountered last decade, time series were web-scraped analyzed from several open data sources: weather news broadcast Romania, air quality, temperature, The extraction organization of recorded between 2009 2023 are formulated framework can be reproduced replicated continue monitoring. exploratory analysis categorical numerical highlights intricate patterns correlations within conditions across regions seasons. From temperature trends quality fluctuations, study underscores dynamic interplay phenomena, paving way for informed forecasting deeper climate research. At same time, processing includes Latent Dirichlet Allocation, K-prototype clustering analysis, addition K-means with dimensional reduction techniques, all employed further reveal higher occurrence. Therefore, this paper, propose multiple datasets analytics, extracting valuable information on identifying exposed phenomena.

Language: Английский

Citations

10

Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field DOI Creative Commons
Zakaria Aoujil, Mohamed Hanine, Emmanuel Soriano Flores

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 139367 - 139394

Published: Jan. 1, 2023

Behavioral economics and artificial intelligence (AI) have been two rapidly growing fields of research over the past few years. While behavioral aims to combine concepts from psychology, sociology, neuroscience with classical economic thoughts understand human decision-making processes in complex environment, AI on other hand, focuses creating intelligent machines that can mimic cognitive abilities such as learning, problem-solving, decision-making, language understanding. The intersection these has led thrilling theories practical applications. This study provides a bibliometric analysis literature gain insight into trends this field. We conducted using Web Science database articles published between 2012 2022 were related economics. VOSviewer Bibliometrix R package utilized identify influential authors, journals, institutions, countries Network was also performed main themes their interrelationships. revealed number publications increasing steadily decade. found most studies focused customer consumer behavior, including topics under uncertainty, neuroeconomics, game theory, combined mainly machine learning deep techniques. identified several emerging themes, use nudging prospect theory finance, well undeveloped AI-driven macroeconomics. findings suggests there is need for more interdisciplinary collaboration researchers AI. suggest future further consider ethical implications insights decision-making. serve valuable resource interested

Language: Английский

Citations

8

Processes of Modernization of Consumption in Poland in the Context of the Sustainable Consumption and the Functioning of the Renewable Energy Market DOI Creative Commons
Magdalena Sobocińska

Energies, Journal Year: 2022, Volume and Issue: 15(1), P. 289 - 289

Published: Jan. 1, 2022

The process of consumption modernization can be expressed by adopting the principles sustainable development within sphere consumption. It should emphasized that implementation a model becomes especially important when considering fact not only various types enterprises but also consumers participate in excessive natural resources. processes are related to its humanization and formation responsible society response overconsumption goods services, which is determined actual human needs does consider social ecological costs. aim paper present Poland context functioning renewable energy market. Special attention paid behaviours consistent with model, as well motives for using sources Polish perception barriers increasing use Poland. This based on literature studies, results an empirical study quantitative character was performed 2021 nationwide representative sample 1020 people. contribution article represented showing motivation indicating analysis research shows aspect saving money plays significant role among sources. At same time, high investment costs devices enable main factor limiting increase

Language: Английский

Citations

13

Sentiment Analysis for the Natural Environment: A Systematic Review DOI Creative Commons
Muhammad Okky Ibrohim, Cristina Bosco, Valerio Basile

et al.

ACM Computing Surveys, Journal Year: 2023, Volume and Issue: 56(4), P. 1 - 37

Published: July 22, 2023

In this systematic review, Kitchenham’s framework is used to explore what tasks, techniques, and benchmarks for Sentiment Analysis have been developed addressing topics about the natural environment. We comprehensively analyze seven dimensions including contribution, topical focus, data source query, annotation, language, detail of task, technology/algorithm used. By showing how research area has grown during last few years, our investigation provides important findings results achieved challenges that need be still addressed making technology actually helpful stakeholders such as policymakers governments.

Language: Английский

Citations

7

Understanding farmed salmon imports and e-commerce consumer satisfaction in China: A text mining approach DOI Creative Commons
Mausam Budhathoki,

Li Lincen,

Hao Xu

et al.

Journal of Agriculture and Food Research, Journal Year: 2024, Volume and Issue: 18, P. 101342 - 101342

Published: Aug. 5, 2024

Salmon, a luxury aquatic species, has seen steady increase in imports China. The rapid development of the Internet, transformation consumption behaviour, and impact COVID-19 pandemic have prompted consumers to purchase salmon products from e-commerce platforms In this context, understanding import trends consumer satisfaction with is critical promoting sustaining sales through platforms. Therefore, study aims investigate trend analysis China as well understand factors influencing e-commerce. We analysed 10,064 comments out 25,763 for after resampling proportion positive/negative comments. Sentiment analyser, Textblob, classified 65.2 % positive, 21.7 negative, 13.1 neutral. Additionally, Latent Dirichlet Allocation (LDA) topic modelling identified five areas e-commerce: decision (19.5 comments), eating experience (22.3 %), service quality delivery (20.6 history (17.5 general product (20 %). Our findings indicate that are most affecting satisfaction, whereas least impact. Consumers' PLUS membership profile, style, preservation form had significant influence on while country origin, weight price no influence. Salmon need improve logistic satisfaction.

Language: Английский

Citations

2