Is Climate Change a Topic of Concern to Indians? Assessing and Predicting Sentiments Using Deep Learning Techniques

IF 1.3 Q4 ENVIRONMENTAL STUDIES Environment and Urbanization ASIA Pub Date : 2022-09-01 DOI:10.1177/09754253221120614
R. Jena
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Abstract

Climate change is a significant concern to all of us. It is now becoming a hot topic of discussion among people around the world with social media being a ubiquitous platform for debate. As in other countries, the Government of India has started various initiatives to minimize the causes of climate change. But the success of all such initiatives depends on people’s participation and understanding. Therefore, this study’s aims are two-fold: (a) to capture the perception of Indian people towards different topics of climate change; (b) to mine the sentiment of Indian people using ‘deep learning’ algorithms. Data from various social media platforms have been used for this research. The study showed that people in India have demonstrated concern about topics related to climate change. The study also found that the convolutional neural network (CNN) was the most effective algorithm for sentiment classification. The results can help different stakeholders, including the Government of India, prioritize various actions to mitigate climate change’s causes and effects based on citizens’ sentiment.
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气候变化是印度人关心的话题吗?使用深度学习技术评估和预测情绪
气候变化是我们所有人都关心的一个重大问题。随着社交媒体成为无处不在的辩论平台,它现在正成为世界各地人们讨论的热门话题。与其他国家一样,印度政府已开始采取各种举措,尽量减少气候变化的原因。但是,所有这些倡议的成功取决于人们的参与和理解。因此,本研究的目的有两个:(a)捕捉印度人民对气候变化不同主题的看法;(b) 使用“深度学习”算法挖掘印度人的情绪。来自各种社交媒体平台的数据被用于这项研究。研究表明,印度人民对与气候变化有关的话题表现出了担忧。研究还发现,卷积神经网络(CNN)是情绪分类最有效的算法。研究结果可以帮助包括印度政府在内的不同利益攸关方根据公民的情绪,优先采取各种行动来缓解气候变化的原因和影响。
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来源期刊
Environment and Urbanization ASIA
Environment and Urbanization ASIA ENVIRONMENTAL STUDIES-
CiteScore
2.70
自引率
0.00%
发文量
24
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