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Sentiment analysis related of international festival of living arts Loja-Ecuador employing knowledge discovery in text

Abstract:

Nowadays, the use of social networks is part of the daily life of most people, especially young people, to share content and opinions. Twitter is one of the most popular social networks, in which users are the first actors to generate a large amount of information. The analysis of Twitter data requires a systematic process of collection, processing and classification. The main objective of this work is to classify the data tweets in three different classes: Positive, Negative and Neutral Opinions, corresponding to the “International Festival of the Living Arts in Loja (FIAVL)” in the years between 2016 and 2019. The official account of the “FIAVL” produced a total of 18k tweets in Spanish language, which followed the different phases of the Knowledge Discovery in Text (KDT) methodology for its analysis and study. Vector Support Machines (SVM) and Naive Bayes (NB) were used to classify the classes, where an …

Año de publicación:

2021

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Estudios culturales
    • Minería de datos
    • Etnografía

    Áreas temáticas:

    • Métodos informáticos especiales
    • Funcionamiento de bibliotecas y archivos
    • Artes

    Contribuidores:

    lisset neyralisset neyra