scholarly journals Topic Modelling and Sentiment Analysis of Global Warming Tweets

2022 ◽  
Vol 34 (3) ◽  
pp. 1-18
Author(s):  
Fang Qiao ◽  
Jago Williams
Keyword(s):  
Global Warming ◽  
Sentiment Analysis ◽  
Data Analytics ◽  
Positive Emotions ◽  
Big Data Analytics ◽  
Environmental Issues ◽  
Extreme Weather Events ◽  
Topic Modelling ◽  
Critical View ◽  
Weather Events

With the increasing extreme weather events and various disasters, people are paying more attention to environmental issues than ever, particularly global warming. Public debate on it has grown on various platforms, including newspapers and social media. This paper examines the topics and sentiments of the discussion of global warming on Twitter over a span of 18 months using two big data analytics techniques—topic modelling and sentiment analysis. There are seven main topics concerning global warming frequently debated on Twitter: factors causing global warming, consequences of global warming, actions necessary to stop global warming, relations between global warming and Covid-19; global warming’s relation with politics, global warming as a hoax, and global warming as a reality. The sentiment analysis shows that most people express positive emotions about global warming, though the most evoked emotion found across the data is fear, followed by trust. The study provides a general and critical view of the public’s principal concerns and their feelings about global warming on Twitter.

Extreme Weather Resulting from Global Warming is an Emerging Threat to Farmworker Health and Safety

2019 ◽  
Vol 25 (4) ◽  
pp. 189-190
Author(s):  
Kent E. Pinkerton ◽  
Emily Felt ◽  
Heather E. Riden
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Extreme Precipitation ◽  
Health And Safety ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Cold Waves ◽  
Warming Climate ◽  
Weather Events

Abstract. A warming climate has been linked to an increase in the frequency and severity of extreme weather events, including heat and cold waves, extreme precipitation, and wildfires. This increase in extreme weather results in increased risks to the health and safety of farmworkers. Keywords: Climate change, Extreme weather, Farmworkers, Global warming, Health and safety.

scholarly journals If They Like You, They Learn from You: How a Brief Weathercaster-Delivered Climate Education Segment Is Moderated by Viewer Evaluations of the Weathercaster

2013 ◽  
Vol 5 (4) ◽  
pp. 367-377 ◽  
Author(s):  
Ashley A. Anderson ◽  
Teresa A. Myers ◽  
Edward W. Maibach ◽  
Heidi Cullen ◽  
Jim Gandy ◽  
...  
Keyword(s):  
Global Warming ◽  
South Carolina ◽  
Heat Wave ◽  
Risk Perceptions ◽  
Extreme Weather Events ◽  
Tv Viewing ◽  
Significant Interaction Effect ◽  
Weather Events ◽  
Local Manifestation ◽  
Promising Source

Abstract Local television (TV) weathercasters are a potentially promising source of climate education, in that weather is the primary reason viewers watch local TV news, large segments of the public trust TV weathercasters as a source of information about global warming, and extreme weather events are increasingly common (Leiserowitz et al.; U.S. Global Change Research Program). In an online experiment conducted in two South Carolina cities (Greenville, n = 394; Columbia, n = 352) during and immediately after a summer heat wave, the effects on global warming risk perceptions were examined following exposure to a TV weathercast in which a weathercaster explained the heat wave as a local manifestation of global warming versus exposure to a 72-h forecast of extreme heat. No main effect of the global warming video on learning was found. However, a significant interaction effect was found: subjects who evaluated the TV weathercaster more positively were positively influenced by the global warming video, and viewers who evaluated the weathercaster less positively were negatively influenced by the video. This effect was strongest among politically conservative viewers. These results suggest that weathercaster-delivered climate change education can have positive, albeit nuanced, effects on TV-viewing audiences.

scholarly journals An Intelligent Cognitive-Inspired Computing with Big Data Analytics Framework for Sentiment Analysis and Classification

2022 ◽  
Vol 59 (1) ◽  
pp. 102758
Author(s):  
Deepak Kumar Jain ◽  
Prasanthi Boyapati ◽  
J. Venkatesh ◽  
M. Prakash
Keyword(s):  
Big Data ◽  
Sentiment Analysis ◽  
Data Analytics ◽  
Big Data Analytics

scholarly journals Recent extreme air temperature changes in Montenegro

2015 ◽  
Vol 95 (4) ◽  
pp. 53-66 ◽  
Author(s):  
Dragan Buric ◽  
Vladan Ducic ◽  
Jovan Mihajlovic ◽  
Jelena Lukovic ◽  
Jovan Dragojlovic
Keyword(s):  
Global Warming ◽  
Air Temperature ◽  
General Idea ◽  
Extreme Weather Events ◽  
Climate Indices ◽  
Temperature Extremes ◽  
Temperature Changes ◽  
Air Temperatures ◽  
Weather Events ◽  
The World

The studies show that the changes in intensity and frequency of the extreme weather events have been registered in many regions of the world. This paper gives an analysis of the change of 12 air temperature parameters, out of which 9 are climate indices. The indices suggested by WMO-CCL/CLIVAR have been used in order to investigate the changes in temperature extremes. The research related to the topic has been carried out by using the data from 23 meteorological stations for the 1951 - 2010 period and calculations have been done on the seasonal level. The results show that the maximum and minimum air temperatures, which have ?warmer values?, are becoming more frequent on the territory of Montenegro which corresponds to the general idea of global warming.

scholarly journals Understanding Mesoscopic Chemo-Mechanical Distress and Mitigation Mechanisms of Concrete Subject to ASR

2020 ◽  
Author(s):  
Md Asif Rahman
Keyword(s):  
Global Warming ◽  
Service Life ◽  
Mechanical Damage ◽  
Extreme Weather ◽  
Extreme Weather Events ◽  
Alkali Silica Reaction ◽  
Weather Events ◽  
Temperature And Humidity ◽  
Concrete Damage

Alkali-silica reaction (ASR) is one of the common sources of concrete damage worldwide. The surrounding environment, namely, temperature and humidity greatly influence the alkali-silica reaction induced expansion. Global warming (GW) has caused frequent change in the climate and initiated extreme weather events in recent years. These extreme events anticipate random change in temperature and humidity, and convey potential threats to the concrete infrastructure. Moreover, external loading conditions also affect the service life of concrete. Thus, complex mechanisms of ASR under the impact of seasonal change and global warming require a precise quantitative assessment to guide the durable infrastructure materials design practices. Despite decades of phenological observation study, the expansion behavior of ASR under these situations remains to be understood for capturing the ASR damage properly. Within this context this research focuses on the mathematical model development to quantify and mitigate ASR-induced damage. Mesoscale characteristics of ASR concrete was captured in the virtual cement-concrete lab where the ASR gel-induced expansion zone was added as a uniform thickness shell. Finite element method (FEM) was used to solve the ASR formation and expansion evolution. The results of this study are presented in the form of one conference and their journal manuscripts. The first manuscript focuses on the development of the governing equations based on the chemical formulas of alkali-silica reaction to account for the ASR kinetics and swelling pressure exerted by the ASR expansion. There is a fluid flow and mass transfer in the concrete domain due to ASR gel associated from ASR kinetics. This paper involves derivation of the mass and momentum balance equation in terms of the thermo-hygro-mechanical (THM) model. THM model accounts for thermal expansion and hygroscopic swelling in addition to traffic loads to represent volumetric change in the concrete domain. The second manuscript is a case study based on different cement-aggregate proportions and alkali hydroxide concentrations. It is important to know how ASR evolves under variable concentration of the chemical species. The simulated results show that high concentration of hydroxide ion in concrete initiates more reaction and damage in concrete. Also chemical reaction moves to the right direction with low cement to aggregate ratio which means ASR expansion depends on the availability of the reactive aggregates in the concrete domain. The third manuscript attempts to develop a simplified ASR model that integrates chemo-physio-mechanical damage under stochastic weather impact. Stochasicity incorporates the random behavior of surrounding nature in the model. The simulated results elucidate that ASR expansion is more severe under the influence of global warming and climate change. This will support long-term damage forecasts of concrete subjected to extreme weather events. The fourth manuscript focuses on the quantification of mechanical damage under ASR expansion and a dedicated mitigation scheme to minimize it. Added creep loads and physics identify the role of creep damage on ASR expansion. The results from this paper confirms that the ASR-induced damage significantly minimize the load carrying capacity of concrete. It directly affects the compressive strength, tensile strength, and modulus of elasticity of concrete. Damage in aggregates domain is more than the mortar phase under the creep loadings. Among many supplementary materials, fly ash is the most effective in minimizing ASR expansion and damage. This work also includes a petrographic comparison between different mineral types collected from different locations to identify the reactivity of certain aggregates. Thus, the final outcome of this research is a complete model which is a conclusive solution to the long-term ASR damage prediction. The validated model provides better understanding of ASR kinetics from mesoscale perspective. The developed model can potentially accelerate the precise prediction of concrete service life and mitigation schemes as well as can be used as an alternative scope to the costly laboratory tests methods.

scholarly journals Sentiment Analysis- A tool for Data Mining in Big Data Analytics

2019 ◽  
Vol 8 (9) ◽  
pp. 2125-2131
Keyword(s):  
Sentiment Analysis ◽  
Language Processing ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Secondary Data ◽  
Business Environment ◽  
Analysis Tool ◽  
Business World ◽  
Rapid Changes ◽  
Abundant Data

With the current business environment and rapid changes in technology, the amount of data produced is increasing as each day passes. This huge collection of data is what can make or break such institutions, so it is vital for such a sector to efficiently utilize the data generated. Effective tools and analyses are required to make sure that this data is comprehended and organized in such a manner that it can be used for the tasks at hand. The challenge faced here is knowing how to extract and use the data to the benefit of the business world. The objective of understanding the underlying emotion displayed in each opinion that is voiced out is a huge exercise. Through this paper an attempt has been made to understand how the gap between consumers and providers can be bridged by analyzing secondary data through Sentiment Analysis tool. This research proposes a framework CSA (Continuous Sentiment Analysis) to repeatedly analyze the sentiments from customers highlighting the purpose of one such attempt to capture the tone of the message. This method of “Sentiment Analysis”- a fairly new field uses Natural Language Processing (NLP) in order to give meaning to the abundant data available at hand.

Transitioning to a Prosperous, Resilient and Carbon-Free Economy

2021 ◽  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Natural Resources ◽  
Sea Level Rise ◽  
Sea Level ◽  
Climate Changes ◽  
Decision Makers ◽  
Extreme Weather Events ◽  
Early Adoption ◽  
Weather Events

This book is a comprehensive manual for decision-makers and policy leaders addressing the issues around human caused climate change, which threatens communities with increasing extreme weather events, sea level rise, and declining habitability of some regions due to desertification or inundation. The book looks at both mitigation of greenhouse gas emissions and global warming and adaption to changing conditions as the climate changes. It encourages the early adoption of climate change measures, showing that rapid decarbonisation and improved resilience can be achieved while maintaining prosperity. The book takes a sector-by-sector approach, starting with energy and includes cities, industry, natural resources, and agriculture, enabling practitioners to focus on actions relevant to their field. It uses case studies across a range of countries, and various industries, to illustrate the opportunities available. Blending technological insights with economics and policy, the book presents the tools decision-makers need to achieve rapid decarbonisation, whilst unlocking and maintaining productivity, profit, and growth.

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