Ensemble Based Classification of Sentiments Using Forest Optimization Algorithm

Feature subset selection is a process to choose a set of relevant features from a high dimensionality dataset to improve the performance of classifiers. The meaningful words extracted from data forms a set of features for sentiment analysis. Many evolutionary algorithms, like the Genetic Algorithm (...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Mehreen Naz, Kashif Zafar, Ayesha Khan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2019-05-01
Sarja:Data
Aiheet:
feature subset selection
classification
ensemble
evolutionary algorithms
data mining
sentiment analysis
Linkit:https://www.mdpi.com/2306-5729/4/2/76
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