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Overview of Rest-Mex at IberLEF 2021: Recommendation System for Text Mexican Tourism
Procesamiento del Lenguaje Natural ; 67:163-172, 2021.
Article in English | ProQuest Central | ID: covidwho-2218439
ABSTRACT
This paper presents the framework and results from the Rest-Mex track at IberLEF 2021. This track considered two tasks Recommendation System and Sentiment Analysis, using texts from Mexican touristic places. The Recommendation System task consists in predicting the degree of satisfaction that a tourist may have when recommending a destination of Nayarit, Mexico, based on places visited by the tourists and their opinions. On the other hand, the Sentiment Analysis task predicts the polarity of an opinion issued by a tourist who traveled to the most representative places in Guanajuato, Mexico. For both tasks, we have built new corpora considering Spanish opinions from the TripAdvisor website. This paper compares and discusses the results of the participants for both tasks.
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Collection: Databases of international organizations Database: ProQuest Central Country/Region as subject: Mexico Language: English Journal: Procesamiento del Lenguaje Natural Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: ProQuest Central Country/Region as subject: Mexico Language: English Journal: Procesamiento del Lenguaje Natural Year: 2021 Document Type: Article