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

Agenda 2030 and COVID-19: A Young Consumer’s Perception of Sustainable Consumption DOI Open Access
Maria Francesca Renzi, Veronica Ungaro, Laura Di Pietro

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(23), P. 15627 - 15627

Published: Nov. 24, 2022

COVID-19 threatens sustainable development and is a potential opportunity for downsizing the consumer economy. The virus’s impacts on society are still unclear additional contributions required to investigate its effects behaviours. paper aims evaluate consumers’ awareness regarding emergency 2030 Agenda SDGs achievement consumption (SDG 12) in terms of societal environmentally responsible behaviour. A qualitative study planned reach research goal 133 in-depth interviews performed. sample composed young students informed sustainability topics issues. thematic analysis used assess data. contributes existing literature about behaviours by identifying perceived respondents as most negatively positively impacted crisis detecting those that can help overcome emergency. Five themes (Social factors, Knowledge, Habits, Values, Price) describing main behaviour dimensions influenced lockdown social responsibility detected. theoretical framework proposed describe five Finally, roadmap future identified.

Language: Английский

Citations

10

Unveiling the Untapped Potential of Green Consumption in Tourism DOI Open Access
Neringa Vilkaitė-Vaitonė, Vilma Tamulienė

Sustainability, Journal Year: 2023, Volume and Issue: 16(1), P. 230 - 230

Published: Dec. 26, 2023

This paper aims to systematically review the existing literature better understand multiple, complex facets of green consumption behaviour in tourism sector and identify areas for future research. followed PRISMA approach analysed 92 studies published between 2009 2023 high-impact journals. The present systematic scholarly on contributes literature, providing up-to-date research findings. Research has shown that have predominantly centred accommodation industry. Theory Planned Behaviour been widely utilised as a theoretical framework such However, previous findings lack generalisability, cross-cultural comparisons are insufficient. As result, it is imperative conduct additional create frameworks models can assist marketers diverse cultural contexts. Additionally, expanding scope inquiry into within crucial.

Language: Английский

Citations

6

Topic modeling and sentiment analysis of Chinese people’s attitudes toward volunteerism amid the COVID-19 pandemic DOI Creative Commons
Ruheng Yin, Jing Wu, Rui Tian

et al.

Frontiers in Psychology, Journal Year: 2022, Volume and Issue: 13

Published: Nov. 4, 2022

The COVID-19 pandemic has created an urgent need for volunteers to complement overwhelmed public health systems. This study aims explore Chinese people’s attitudes toward volunteerism amid the pandemic. To this end, we identify latent topics in volunteerism-related microblogs on Weibo, equivalent of Twitter using topic modeling analysis via Latent Dirichlet Allocation (LDA). further investigate sentiment generated by LDA, also conducted sample posts open-source natural language processing (NLP) technique from Baidu. Through in-depth 91,933 Weibo posts, captures 10 that are, turn, distributed into five factors associated with China as motive fulfillment ( n = 31,661, 34.44%), fear 22,597, 24.58%), individual characteristic 17,688, 19.24%), government support 15,482, 16.84%), and community effect 4,505, 4.90%). results show fulfillment, support, are could enhance positive since related these report high proportions emotion. Fear inducing negative relatively provision tailored strategies based potentially willingness participate volunteer activities during

Language: Английский

Citations

9

The use of sentiment and emotion analysis and data science to assess the language of nutrition-, food- and cooking-related content on social media: a systematic scoping review DOI Creative Commons
Annika Molenaar, Eva L. Jenkins, Linda Brennan

et al.

Nutrition Research Reviews, Journal Year: 2023, Volume and Issue: 37(1), P. 43 - 78

Published: March 30, 2023

Social media data are rapidly evolving and accessible, which presents opportunities for research. Data science techniques, such as sentiment or emotion analysis analyse textual emotion, provide an opportunity to gather insight from social media. This paper describes a systematic scoping review of interdisciplinary evidence explore how methods alongside other have been used examine nutrition, food cooking content. A PRISMA search strategy was nine electronic databases in November 2020 January 2022. Of 7325 studies identified, thirty-six were selected seventeen countries, content analysed thematically summarised table. Studies published between 2014 2022 seven different platforms (Twitter, YouTube, Instagram, Reddit, Pinterest, Sina Weibo mixed platforms). Five themes research identified: dietary patterns, recipes, diet health, public health nutrition general. Papers developed tool available open-source tools. Accuracy predict ranged 33·33% (open-source engine) 98·53% (engine the study). The average proportion 38·8% positive, 46·6% neutral 28·0% negative. Additional techniques included topic modelling network analysis. Future requires optimising extraction processes platforms, use teams develop suitable accurate subject complementary deeper insights into these complex data.

Language: Английский

Citations

5

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

Citations

5