Purpose

Most studies on Sentiment Analysis are performed in English. However, as the third most spoken language on the Internet, Sentiment Analysis for Spanish presents its challenges from a semantic and syntactic point of view. This review presents a scope of the recent advances in this area.

Design/methodology/approach

A systematic literature review on Sentiment Analysis for the Spanish language was conducted on recognized databases by the research community.

Findings

Results show classification systems through three different approaches: Lexicon based, Machine Learning based and hybrid approaches. Additionally, different linguistic resources as Lexicon or corpus explicitly developed for the Spanish language were found.

Originality/value

This study provides academics and professionals, a review of advances in Sentiment Analysis for the Spanish language. Most reviews on Sentiment Analysis are for English, and other languages such as Chinese or Arabic, but no updated reviews were found for Spanish.

中文翻译：

---

西班牙语情感分析的系统文献综述

目的

大多数关于情感分析的研究都是用英语进行的。然而，作为互联网上第三大常用语言，西班牙语情感分析从语义和句法的角度提出了挑战。本综述介绍了该领域的最新进展。

设计/方法/方法

研究界在公认的数据库上对西班牙语的情绪分析进行了系统的文献综述。

发现

结果显示了通过三种不同方法的分类系统：基于词典、基于机器学习和混合方法。此外，还发现了不同的语言资源，如为西班牙语明确开发的词典或语料库。

原创性/价值

这项研究为学者和专业人士提供了对西班牙语情绪分析进展的回顾。大多数关于 Sentiment Analysis 的评论都是针对英语，以及其他语言（如中文或阿拉伯语），但没有找到针对西班牙语的更新评论。