A Simple but Powerful Word Polarity Classification Model

Abstract

Polarity lexicons have largely been used for opinion mining, also known as sentiment analysis. Their high relevance has made them invaluable when it comes to classifying the opinions originated by digital platforms users. However, there is a great dependence on resources developed in other languages, in special English, to create a lexicon in Spanish. In this work we develop a polarity lexicon for Mexican Spanish from a thesaurus and two seed words sets inside it that we use to assign polarity values to words, from a frequentist treatment, and taking into account the assumption that synonymous words have similar polarities.