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Energy choices in Alaska: Mining people's perception and attitudes from geotagged tweets
Renewable and Sustainable Energy Reviews ( IF 15.9 ) Pub Date : 2020-02-29 , DOI: 10.1016/j.rser.2020.109781
Moloud Abdar , Mohammad Ehsan Basiri , Junjun Yin , Mahmoud Habibnezhad , Guangqing Chi , Shahla Nemati , Somayeh Asadi

Alaska is at the forefront of climate change and subject to salient challenges including energy consumption. It is important to understand Alaskans' perceptions and opinions about energy consumption to solve Alaska's domestic energy problems and creating a sustainable future. However, it is challenging to collect public opinions about energy consumption using conventional survey methods, which are often expensive, labor-intensive, and slow. This study utilizes information-rich Twitter data to investigate Alaskans' perceptions and opinions on various energy sources and in particular clean energy sources. Using the geotagged Twitter data collected in Alaska from 2014 to 2016, a lexicon-based sentiment analysis approach was first applied to analyze the polarity in the expressed opinions. Further, a novel fuzzy-based theory is employed to derive the sentiment of the opinion in each tweet. The results indicate that there is a valuable growth rate for a set of energy-related keywords, such as “sun”, “power”, and “nuclear”. The rank of top 20 renewable energy-related keywords shows the word “Tidal” has the highest ranking followed by “solar panel”. Moreover, the attention to various types of energy is increasing dramatically among Alaskans. Importantly, Alaskans' attitudes toward energy and renewable energy changed positively from 2014 to 2016, indicating that Alaskans' energy choices are more acceptive towards or even favor renewable energy in the future.



中文翻译:

阿拉斯加的能源选择:从带有地理标记的推文中挖掘人们的看法和态度

阿拉斯加处于气候变化的最前沿,面临着包括能源消耗在内的重大挑战。了解阿拉斯加人对能源消耗的看法和观点对于解决阿拉斯加的国内能源问题并创造可持续的未来非常重要。但是,使用常规的调查方法收集有关能源消耗的公众意见是一项挑战,这种方法通常很昂贵,劳动强度大且速度慢。这项研究利用信息丰富的Twitter数据来调查阿拉斯加人对各种能源特别是清洁能源的看法和看法。利用2014年至2016年在阿拉斯加收集的经过地理标记的Twitter数据,首先使用了基于词典的情感分析方法来分析所表达观点的极性。进一步,一种新颖的基于模糊的理论被用来推导每条推文中的观点情绪。结果表明,一组与能源相关的关键字(例如“太阳”,“电力”和“核”)的增长率很高。前20个与可再生能源相关的关键字排名显示,“潮汐”一词的排名最高,其次是“太阳能面板”。此外,阿拉斯加人对各种能源的关注正急剧增加。重要的是,从2014年到2016年,阿拉斯加人对能源和可再生能源的态度发生了积极的变化,这表明阿拉斯加人的能源选择在未来对可再生能源的接受程度更高,甚至更受欢迎。和“核”。前20个与可再生能源相关的关键字排名显示,“潮汐”一词的排名最高,其次是“太阳能面板”。此外,阿拉斯加人对各种能源的关注正急剧增加。重要的是,从2014年到2016年,阿拉斯加人对能源和可再生能源的态度发生了积极的变化,这表明阿拉斯加人的能源选择在未来对可再生能源的接受程度更高,甚至更受欢迎。和“核”。前20个与可再生能源相关的关键字排名显示,“潮汐”一词的排名最高,其次是“太阳能面板”。此外,阿拉斯加人对各种能源的关注正急剧增加。重要的是,从2014年到2016年,阿拉斯加人对能源和可再生能源的态度发生了积极的变化,这表明阿拉斯加人的能源选择在未来对可再生能源的接受程度更高,甚至更受欢迎。

更新日期:2020-03-02
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