Power words are terms that evoke strong emotional responses and significantly influence readers' behavior, playing a crucial role in fields like marketing, politics, and motivational writing. This study proposes a methodology for the automated detection and analysis of power words in persuasive text using a custom lexicon and the TextBlob library in Python. By identifying the presence and frequency of power words within a given text, we aim to classify and analyze their impact on sentiment and reader engagement. This research examines diverse datasets across various domains to provide insights into the effectiveness of power words, offering practical applications for content creators, advertisers, and policymakers.

翻译：力量词汇是指能够引发强烈情感反应并显著影响读者行为的术语，在营销、政治和激励性写作等领域发挥着关键作用。本研究提出了一种利用自定义词典和Python中的TextBlob库对劝说文本中的力量词汇进行自动检测与分析的方法。通过识别特定文本中力量词汇的存在及其频率，我们旨在对其在情感和读者参与度方面的影响进行分类与分析。本研究通过跨领域多样化数据集的检验，揭示了力量词汇的实际效用，为内容创作者、广告商和政策制定者提供了具有实际应用价值的见解。