TripAdvisor reviews and comparable data sources play an important role in
many tasks in Natural Language Processing (NLP), providing a data basis for the
identification and classification of subjective judgments, such as hotel or
restaurant reviews, into positive or negative polarities. This study explores
three important factors influencing variation in crowdsourced polarity
judgments, focusing on TripAdvisor reviews in Spanish. Three hypotheses are
tested: the role of Part Of Speech (POS), the impact of sentiment words such as
"tasty", and the influence of neutral words like "ok" on judgment variation.
The study's methodology employs one-word titles, demonstrating their efficacy
in studying polarity variation of words. Statistical tests on mean equality are
performed on word groups of our interest. The results of this study reveal that
adjectives in one-word titles tend to result in lower judgment variation
compared to other word types or POS. Sentiment words contribute to lower
judgment variation as well, emphasizing the significance of sentiment words in
research on polarity judgments, and neutral words are associated with higher
judgment variation as expected. However, these effects cannot be always
reproduced in longer titles, which suggests that longer titles do not represent
the best data source for testing the ambiguity of single words due to the
influence on word polarity by other words like negation in longer titles. This
empirical investigation contributes valuable insights into the factors
influencing polarity variation of words, providing a foundation for NLP
practitioners that aim to capture and predict polarity judgments in Spanish and
for researchers that aim to understand factors influencing judgment variation.

通过分析西班牙语的 TripAdvisor 评论，本研究探讨了影响众包极性判断变异的三个重要因素：词性、情感词以及中性词。研究结果表明，单词标题中的形容词倾向于导致较低的判断变异，情感词和中性词也对判断变异起到了一定的影响。然而，这些影响在更长的标题中无法复现，这暗示更长的标题并不适合用来测试单词的歧义性。这项实证研究为研究人员提供了有价值的深入了解影响单词极性变异的因素，为自然语言处理从业者利用西班牙语数据进行极性判断和预测的研究奠定了基础。