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.

阿拉斯加处于气候变化的最前沿，并面临着能源消耗等突出挑战。了解阿拉斯加人对能源消费的看法和看法对于解决阿拉斯加国内能源问题、创造可持续的未来非常重要。然而，使用传统的调查方法收集有关能源消耗的公众意见具有挑战性，这些方法往往成本高昂、劳动密集且缓慢。本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意见。利用 2014 年至 2016 年在阿拉斯加收集的地理标记 Twitter 数据，首先应用基于词典的情感分析方法来分析所表达观点的极性。此外，采用一种新颖的基于模糊的理论来得出每条推文中观点的情绪。结果表明，一组与能源相关的关键词（例如“太阳”、“电力”和“核”）具有有价值的增长率。从可再生能源相关关键词前20名的排名来看，“潮汐”一词排名最高，其次是“太阳能电池板”。此外，阿拉斯加人对各种能源的关注正在急剧增加。重要的是，2014年至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，这表明阿拉斯加人未来的能源选择更加接受甚至青睐可再生能源。