Saving earth one tweet at a time through the lens of artificial intelligence

C Duong, Q Liu, R Mao… - 2022 International Joint …, 2022 - ieeexplore.ieee.org
The impacts of climate change and global warming have become more visible globally
because of the increasing frequency of extreme weather events, abnormal heatwaves, and …

A multi-task model for sentiment aided stance detection of climate change tweets

A Upadhyaya, M Fisichella, W Nejdl - Proceedings of the international …, 2023 - ojs.aaai.org
Climate change has become one of the biggest challenges of our time. Social media
platforms such as Twitter play an important role in raising public awareness and spreading …

[HTML][HTML] Text Mining Attitudes toward Climate Change: Emotion and Sentiment Analysis of the Twitter Corpus

Z Mi, H Zhan - Weather, Climate, and Society, 2023 - journals.ametsoc.org
Media such as Twitter have become platforms for contemporary Americans to express their
opinions and allow for reaction to public opinion. Climate change is a topic of ongoing social …

Trend and thoughts: Understanding climate change concern using machine learning and social media data

Z Shangguan, Z Zheng, L Lin - arXiv preprint arXiv:2111.14929, 2021 - arxiv.org
Nowadays social media platforms such as Twitter provide a great opportunity to understand
public opinion of climate change compared to traditional survey methods. In this paper, we …

[PDF][PDF] Intensity-Valued Emotions Help Stance Detection of Climate Change Twitter Data.

A Upadhyaya, M Fisichella, W Nejdl - IJCAI, 2023 - ijcai.org
Our study focuses on the United Nations Sustainable Development Goal 13: Climate Action,
by identifying public attitudes on Twitter about climate change. Public consent and …

Towards sentiment and temporal aided stance detection of climate change tweets

A Upadhyaya, M Fisichella, W Nejdl - Information Processing & …, 2023 - Elsevier
Climate change has become one of the most significant crises of our time. Public opinion on
climate change is influenced by social media platforms such as Twitter, often divided into …

Building a sustainable social feedback loop: a machine intelligence approach for Twitter opinion mining

A Abdelhafeez, A Aziz, N Khalil - … Machine Intelligence Journal, 2022 - sciencesforce.com
This paper presents a sustainable machine intelligence approach for Twitter opinion mining,
focusing on building a socially responsible feedback loop. We propose a methodology that …

Analyzing the dynamics of climate change discourse on twitter: A new annotated corpus and multi-aspect classification

S Shiwakoti, S Thapa, K Rauniyar, A Shah… - Proceedings of the …, 2024 - aclanthology.org
The discourse surrounding climate change on social media platforms has emerged as a
significant avenue for understanding public sentiments, perspectives, and engagement with …

[HTML][HTML] Public sentiment toward solar energy—opinion mining of twitter using a transformer-based language model

SY Kim, K Ganesan, P Dickens, S Panda - Sustainability, 2021 - mdpi.com
Public acceptance and support for renewable energy are important determinants of the low-
carbon energy transition. This paper examines public sentiment toward solar energy in the …

[PDF][PDF] Tracking climate change opinions from twitter data

X An, AR Ganguly, Y Fang, SB Scyphers… - Workshop on data …, 2014 - cse.scu.edu
ABSTRACT The Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate
Change (IPCC) released in 2014 states that warming of the climate system is “unequivocal,” …