This paper proposes a morphologically-aware tokenizer that leverages the Apertium-uzbek morphological analyzer to enable word splitting. Results on Sentiment Analysis, Text Classification, and NER experiments prove the superiority of the suggested tokenizer over the baseline approach, reflecting its effectiveness in Uzbek NLP.