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.
Search on Google
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
Similar
MEDLINE
...
LILACS
LIS