pysentimiento：一款用于观点挖掘与社交NLP任务的Python工具包
pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks
AI总结：
针对现有社交NLP前沿工具依赖商业API、多语言支持不足、使用门槛高的问题，研究人员推出开源多语言Python工具包pysentimiento，集成西、英、意、葡四种语言的前沿模型，还完成了多任务多数据集的性能及公平性评估。
摘要：
近年来，从用户生成文本中提取观点与信息受到了广泛关注，这在很大程度上源于社交媒体上海量的内容。然而，社会研究人员在采用前沿工具完成这类任务时面临一些问题：这些工具通常依赖商业API、仅支持英语不支持其他语言，或是对非专业人士来说使用非常复杂。为解决这些问题，我们推出了pysentimiento，这是一款专为观点挖掘及其他社交NLP任务设计的综合性多语言Python工具包。这个开源库将支持西班牙语、英语、意大利语和葡萄牙语的前沿模型封装在易用的Python库中，让研究人员能够运用这些技术。我们对多个预训练语言模型在各类任务、语言和数据集上的性能进行了全面评估，其中还包括对结果公平性的评估。
英文摘要：
In recent years, the extraction of opinions and information from user-generated text has attracted a lot of interest, largely due to the unprecedented volume of content in Social Media. However, social researchers face some issues in adopting cutting-edge tools for these tasks, as they are usually behind commercial APIs, unavailable for other languages than English, or very complex to use for non-experts. To address these issues, we present pysentimiento, a comprehensive multilingual Python toolkit designed for opinion mining and other Social NLP tasks. This open-source library brings state-of-the-art models for Spanish, English, Italian, and Portuguese in an easy-to-use Python library, allowing researchers to leverage these techniques. We present a comprehensive assessment of performance for several pre-trained language models across a variety of tasks, languages, and datasets, including an evaluation of fairness in the results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
