NAIV BAYES YORDAMIDA FILM SHARHLARINI SENTIMENT TAHLILI

Authors

  • Mamasoliyev Asilbek Author

Keywords:

Naiv Bayes, sentiment tahlili, mashinali o‘qitish, NLP, film sharhlari, klassifikatsiya, Bag-of-Words, TF-IDF.

Abstract

Ushbu maqolada Naiv Bayes klassifikatori yordamida film 
sharhlarini sentiment tahlil qilish jarayoni yoritiladi. Sentiment tahlili matnni ijobiy 
yoki salbiy kayfiyatga ajratishdan iborat bo‘lib, tabiiy tilni qayta ishlash (NLP) va 
mashinali o‘qitishning eng mashhur qo‘llanmalardan biridir. Maqolada Naiv Bayes 
algoritmining nazariy asosi, ma’lumotlarni tayyorlash bosqichlari, modelni o‘qitish 
jarayoni va baholash usullari batafsil bayon qilinadi. [1] Shuningdek, eksperiment 
natijalari va amaliy qo‘llanilish bo‘yicha tavsiyalar beriladi.

References

1.Manning C., Raghavan P., Schütze H. Introduction to Information Retrieval.

2.Liu B. Sentiment Analysis and Opinion Mining.

3.Bird S., Klein E., Loper E. Natural Language Processing with Python.

4.McCallum A., Nigam K. A Comparison of Event Models for Naive Bayes Text

Classification.

5.Jurafsky D., Martin J. Speech and Language Processing.

6.Han J., Kamber M., Pei J. Data Mining: Concepts and Techniques.

7.Pang B., Lee L. Thumbs Up? Sentiment Classification Using Machine Learning

Techniques.

8.Goodfellow I., Bengio Y., Courville A. Deep Learning.

Published

2025-12-17

How to Cite

NAIV BAYES YORDAMIDA FILM SHARHLARINI SENTIMENT TAHLILI. (2025). ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 83(4), 98-102. https://journalss.org/index.php/obr/article/view/10697