O‘ZBEK TILIDAGI IJTIMOIY TARMOQ MATNLARI SENTIMENT TAHLILI
Keywords:
sentiment analysis, chatGPT, deepseek, binary model, multiclass model, aspect-based model, dataset, tokenization, lemmatization, stemming, stopwords, parser.Abstract
This article provides a detailed discussion of the issue of sentiment analysis of social network texts in the Uzbek language. In this article, an analysis chronicle of programs using sentiment analysis technologies is presented as an example. Examples are given and practical analysis is performed. In particular, based on sentiment analysis, the attitude of viewers to the video is studied based on the example of opinions expressed on a video on the YouTube platform. The benefits of sentiment analysis for society are considered using the example of various industries. It is recognized that the relevance of the NLP field is as important as the importance of this analysis today.
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