Public Perceptions on Climate Change: A Sentiment Analysis Approach

2021 ◽  
Vol 21 (4) ◽  
pp. 209-233
Author(s):  
Tasha Erina Taufek ◽  
Nor Fariza Mohd Nor ◽  
Azhar Jaludin ◽  
Sabrina Tiun ◽  
Lam Kuok Choy
Keyword(s):  
Climate Change ◽  
Sentiment Analysis ◽  
Public Perceptions ◽  
Analysis Approach

scholarly journals A SWOT Analysis Approach for a Sustainable Transition to Renewable Energy in South Africa

2021 ◽  
Vol 13 (7) ◽  
pp. 3933
Author(s):  
Solomon E. Uhunamure ◽  
Karabo Shale
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Renewable Energy ◽  
Regional Integration ◽  
Power Plants ◽  
Swot Analysis ◽  
Climatic Conditions ◽  
Policy Implications ◽  
Analysis Approach ◽  
Renewable Energy Resources

South Africa is been faced with erratic power supply, resulting in persistent load shedding due to ageing in most of its coal-fired power plants. Associated with generating electricity from fossil fuel are environmental consequences such as greenhouse emissions and climate change. On the other hand, the country is endowed with abundant renewable energy resources that can potentially ameliorate its energy needs. This article explores the viability of renewable energy using the strengths, weaknesses, opportunities and threats (SWOT) analysis approach on the key renewable potential in the country. The result indicates that geographic position, political and economic stability and policy implementation are some of the strengths. However, Government bureaucratic processes, level of awareness and high investment cost are some of the weaknesses. Several opportunities favour switching to renewable energy, and these include regional integration, global awareness on climate change and the continuous electricity demand. Some threats hindering the renewable energy sector in the country include land ownership, corruption and erratic climatic conditions. Some policy implications are suggested based on the findings of the study.

scholarly journals Public Perceptions of Climate Change in the Peruvian Andes

2021 ◽  
Vol 13 (5) ◽  
pp. 2677
Author(s):  
Adrian Brügger ◽  
Robert Tobias ◽  
Fredy S. Monge-Rodríguez
Keyword(s):  
Climate Change ◽  
Low Income ◽  
Public Perceptions ◽  
Climate Impacts ◽  
Vulnerable Groups ◽  
Extreme Weather Events ◽  
High Mountain ◽  
Peruvian Andes ◽  
Food Shortages ◽  
Education Levels

How people subjectively perceive climate change strongly influences how they respond to its challenges. To date, relatively little is known about such perceptions in the Global South. This research examines public perceptions of climate change in the Peruvian Andes, a semi-arid high-mountain region that is highly exposed and vulnerable to adverse effects of climate change. Based on questionnaire data collected through face-to-face interviews (N = 1316), we found that respondents identify various climate-related issues as the most important challenges for their country. Many of these issues are related to water. Respondents also noticed more subtle changes and expected them to continue (e.g., extreme temperatures, food shortages). Climate impacts were clearly seen as negative, which was also reflected in the presence of emotions. When compared to previous research, more respondents had personally experienced extreme weather events (80%) and they were more certain that the climate is already changing, is caused by human activity, and is affecting distant and close places similarly. A comparison of the perceptions along different socioeconomic characteristics suggests that more vulnerable groups (e.g., rural, low income and education levels) tended to perceive climate change as more consequential, closer, and as a more natural (vs. anthropogenic) phenomenon than those from less vulnerable groups. The salience of water-related problems and personal experiences of climate-related events, as well as differences between various subgroups, could be used to improve measures to adapt to the consequences of climate change by correcting misconceptions of the population and of decisionmakers.

Public perceptions of who counts as a scientist for controversial science

2019 ◽  
Vol 28 (7) ◽  
pp. 797-811 ◽  
Author(s):  
Brianne Suldovsky ◽  
Asheley Landrum ◽  
Natalie Jomini Stroud
Keyword(s):  
Climate Change ◽  
Media Coverage ◽  
Political Ideology ◽  
Genetically Modified Organisms ◽  
The United States ◽  
Public Perceptions ◽  
The Public ◽  
The Us ◽  
Science Media

In an era where expertise is increasingly critiqued, this study draws from the research on expertise and scientist stereotyping to explore who the public considers to be a scientist in the context of media coverage about climate change and genetically modified organisms. Using survey data from the United States, we find that political ideology and science knowledge affect who the US public believes is a scientist in these domains. Our results suggest important differences in the role of science media attention and science media selection in the publics “scientist” labeling. In addition, we replicate previous work and find that compared to other people who work in science, those with PhDs in Biology and Chemistry are most commonly seen as scientists.

scholarly journals User-Generated Tweets about Global Green Brands: A Sentiment Analysis Approach

2018 ◽  
Vol 30 (2) ◽  
pp. 125-145
Author(s):  
Saba Resnik ◽  
Mateja Kos Koklič
Keyword(s):  
Sentiment Analysis ◽  
Analysis Approach

scholarly journals A hybrid sentiment analysis approach using black widow optimization based feature selection

2021 ◽  
Author(s):  
Anand Joseph Daniel ◽  
◽  
M Janaki Meena ◽  
Keyword(s):  
Feature Selection ◽  
Sentiment Analysis ◽  
Performance Metrics ◽  
Computation Time ◽  
Online Reviews ◽  
Reduction Technique ◽  
Feature Reduction ◽  
Analysis Approach ◽  
Black Widow ◽  
Feature Selection Technique

With the massive development of Internet technologies and e-commerce technology, people rely on the product reviews provided by users through web. Sentiment analysis of online reviews has become a mainstream way for businesses on e-commerce platforms to satisfy the customers. This paper proposes a novel hybrid framework with Black Widow Optimization (BWO) based feature reduction technique which combines the merits of both machine learning and lexicon-based approaches to attain better scalability and accuracy. The scalability problem arises due to noisy, irrelevant and unique features present in the extracted features from proposed approach, which can be eliminated by adopting an effective feature reduction technique. In our proposed BWO approach, without changing the accuracy (90%), the feature-set size is reduced up to 43%. The proposed feature selection technique outperforms other commonly used Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) based feature selection techniques with reduced computation time of 21 sec. Moreover, our sentiment analysis approach is analyzed using performance metrics such as precision, recall, F-measure, and computation time. Many organizations can use these online reviews to make well-informed decisions towards the users’ interests and preferences to enhance customer satisfaction, product quality and to find the aspects to improve the products, thereby to generate more profits.

scholarly journals A Proposed Lexicon-Based Sentiment Analysis Approach for the Vernacular Algerian Arabic

2016 ◽  
Vol 110 (1) ◽  
pp. 55-70 ◽  
Author(s):  
M’hamed Mataoui ◽  
Omar Zelmati ◽  
Madiha Boumechache
Keyword(s):  
Sentiment Analysis ◽  
Analysis Approach

Perceived citizens’ satisfaction with climate change stakeholders using a multicriteria decision analysis approach

2018 ◽  
Vol 82 ◽  
pp. 60-70 ◽  
Author(s):  
Aikaterini Zerva ◽  
Georgios Tsantopoulos ◽  
Evangelos Grigoroudis ◽  
Garyfallos Arabatzis
Keyword(s):  
Climate Change ◽  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Analysis Approach ◽  
Multicriteria Decision
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