Abstract
Climate change is a topic that is frequently debated on social media. A vast majority in the debate cite scientific evidence to recognize the existence of a man-made climate change and its impacts on environment as well as society. The opinion of the masses is critical to dealing with various issues arising due to climate change, such as global warming. In this work, we study people’s opinion on climate change and analyze the data to identify the common topics which garner discussion. Our aim is to analyze the dataset, explore the popular belief of a region and then derive the possible explanation in terms of different factors. This analysis could help us in determining the extent to which different factors affect people’s opinion. By building sentiment analysis models, performing topic modelling and using other appropriate technologies, we can visualise the sentiment pattern to understand the factors affecting them.
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Mohith, S., Jose, J.I., Khetarpaul, S., Sharma, D. (2021). Analyzing Tweets to Understand Factors Affecting Opinion on Climate Change. In: Qiao, M., Vossen, G., Wang, S., Li, L. (eds) Databases Theory and Applications. ADC 2021. Lecture Notes in Computer Science(), vol 12610. Springer, Cham. https://doi.org/10.1007/978-3-030-69377-0_9
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