Evaluating machine learning models efficacy in sentiment analysis for Moroccan Darija: An exploration with MAC dataset
Sentiment analysis is an essential technique for classifying and extracting emotions from several data sets. While many basic methods distinguish between negative and positive emotions, advanced approaches may consider additional categories, such as neutral emotions. This becomes very important and difficult when we need to deal with less parsed languages and dialects, such as Moroccan Darija. Our study highlights the nuances of conducting sentiment analysis implementing the MAC dataset, which includes comments in Moroccan Darija. Our main target is to do comparativ