Management and Economics Scientific Research Journal Том 2 № 2 (2025) · с. 116-122
MATNLI MA’LUMOTLARGA DASTLABKI ISHLOV BERISH ALGORITMLARI
Turakulov O.X, Jalelov R.M
Аннотация
The article analyzes the algorithmic foundations of the pre-processing of textdata. First, the stages of text cleaning using methods such as HTML tags, stop words, punctuationmarks, and kernelization are considered. Classical methods for numerical representation of text,such as TF-IDF, bag-of-words model, and vector space model, are covered. Modern models basedon neural networks, such as Word2Vec, CBOW, and Skip-Gram, are also introduced. These modelspreserve the semantic connections and context in the text, which allows for in-depth analysis ofthe text. The article also covers the theoretical foundations of algorithms and their application inreal areas.
Matnli ma’lumot, dastlabki ishlov, TF-IDF, so‘zlar sumkasi modeli, vektor fazosi, Word2Vec, CBOW, Skip-Gram, semantika, normallashtirish, to‘xtash so‘zlar.
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