Improving Sentiment Analysis Performance on Imbalanced Moroccan Dialect Datasets Using Resample and Feature Extraction Techniques

Improving Sentiment Analysis Performance on Imbalanced Moroccan Dialect Datasets Using Resample and Feature Extraction Techniques

Sentiment analysis is a crucial component of text mining and natural language processing (NLP), involving the evaluation and classification of text data based on its emotional tone, typically categorized as positive, negative, or neutral. While significant research has focused on structured language...

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Bibliographic Details
Main Authors: Zineb Nassr, Faouzia Benabbou, Nawal Sael, Touria Hamim
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Information
Subjects:
text mining
NLP
sentiment analysis
Moroccan dialect
preprocessing
stop words
Online Access:https://www.mdpi.com/2078-2489/16/1/39
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