Systematic literature review of sentiment analysis in the Spanish language
Sonia Osorio Ángel, Adriana Peña Pérez Negrón, Aurora Espinoza-Valdez
Abstract
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.