SENTIMENT TAHLILDA TASNIFLASH SXEMASI
Keywords:
Sentiment analysis, dataset creation, data collection, preprocessing, property separation, model selection, model training, evaluation, optimization, implementation.Abstract
When conducting sentiment analysis in the Uzbek language, the development of a classification scheme requires taking into account such problems as the morphological complexity of the language, code exchange, and data scarcity. In this article, the main stages necessary for developing a classification scheme in sentiment analysis are analyzed on a scientific basis - data collection, purification and preparation, characterization, model selection and training, evaluation and optimization, as well as the use of the model.
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