arXiv:2411.04862cs.CLcs.CY2024-11被引 2

用预训练模型分析西语政党推文情绪,发现意识形态影响情感表达

Sentiment Analysis of Spanish Political Party Tweets Using Pre-trained Language Models

  • 采用BETO和RoBERTuito模型分析西班牙五党推文情绪分布
  • 各党情绪以中性为主,极右翼维克斯负面情绪最高,左翼工人社会党正面情绪最明显
  • 揭示了政治话语中情绪表达与意识形态的关联,适合关注西语舆情分析的研究者

本研究利用针对西班牙语优化的BETO和RoBERTuito两个预训练语言模型,分析2019至2024年间西班牙主要政党(PSOE、PP、Vox、Podemos、Ciudadanos)在推特上的沟通内容情绪特征。结果表明,所有政党均以中性情绪为主,但负面与正面情绪存在显著差异,且与意识形态高度相关:维克斯党表现出更高的负面情绪,而工人社会党则呈现相对更高的正面情绪,验证了政治传播中情感诉求反映意识形态立场的假设。研究证实预训练模型在非英语社交媒体情绪分析中的有效性,为理解西班牙多党制下舆论动态提供了新视角。

原文摘要 · Abstract (English)

Title: Sentiment Analysis of Spanish Political Party Communications on Twitter Using Pre-trained Language Models Authors: Chuqiao Song, Shunzhang Chen, Xinyi Cai, Hao Chen Comments: 21 pages, 6 figures Abstract: This study investigates sentiment patterns within Spanish political party communications on Twitter by leveraging BETO and RoBERTuito, two pre-trained language models optimized for Spanish text. Using a dataset of tweets from major Spanish political parties: PSOE, PP, Vox, Podemos, and Ciudadanos, spanning 2019 to 2024, this research analyzes sentiment distributions and explores the relationship between sentiment expression and party ideology. The findings indicate that both models consistently identify a predominant Neutral sentiment across all parties, with significant variations in Negative and Positive sentiments that align with ideological distinctions. Specifically, Vox exhibits higher levels of Negative sentiment, while PSOE demonstrates relatively high Positive sentiment, supporting the hypothesis that emotional appeals in political messaging reflect ideological stances. This study underscores the potential of pre-trained language models for non-English sentiment analysis on social media, providing insights into sentiment dynamics that shape public discourse within Spain's multi-party political system. Keywords: Spanish politics, sentiment analysis, pre-trained language models, Twitter, BETO, RoBERTuito, political ideology, multi-party system

情绪分析西语处理政党舆情预训练模型

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