So‘zlarni yig‘ish
. O‘z kontent (matn)ingizga berilgan so‘rovlarga mos TF-
IDF qiymatlarni aniqlash va ularning vazniga ega bo‘lsih;
TF-IDF usuli orqali aniqlagan og‘irligi yuqori bo‘lgan barcha terminlarni
Google qidiruv tizimi
natijalari bilan solishtirish
.
Kalit so‘z bo‘yicha yuqori vaznga ega kontentga qidiruv tizimlari yuqori
vazn beradi.
Adabiyotlar
1.
Stecanella, B. (2019). What is TF IDF?
MonkeyLearn
2.
Qin, J., Zhou, Z., Tan, Y., Xiang, X., & He, Z. (2021). A big data text
coverless information hiding based on topic distribution and tf-idf.
International
Journal of Digital Crime and Forensics
,
13
(4).
https://doi.org/10.4018/IJDCF.20210701.oa4
3.
Cahyani, D. E., & Patasik, I. (2021). Performance comparison of tf-idf and
word2vec models for emotion text classification.
Bulletin of Electrical Engineering
and Informatics
,
10
(5). https://doi.org/10.11591/eei.v10i5.3157
4.
Pietro, M. di. (2020). Text Classification with NLP: Tf-Idf vs Word2Vec vs
BERT.
Medium
.
5.
Qaiser, S., & Ali, R. (2018). Text Mining: Use of TF-IDF to Examine the
Relevance of Words to Documents.
International Journal of Computer Applications
,
181
(1). https://doi.org/10.5120/ijca2018917395
6.
Ahmed, B., Ali, G., Hussain, A., Baseer, A., & Ahmed, J. (2021). Analysis
of Text Feature Extractors using Deep Learning on Fake News.
Engineering,
Technology & Applied Science Research
,
11
(2). https://doi.org/10.48084/etasr.4069
7.
O„zbek tili ta‟limiy korpusi - http://uzschoolcorpara.uz/
8.
Jalilifard, A., Caridá, V. F., Mansano, A. F., Cristo, R. S., & da Fonseca, F.
P. C. (2021). Semantic Sensitive TF-IDF to Determine Word Relevance in
Documents.
Lecture Notes in
Electrical Engineering
,
736 LNEE
. https://doi.org/10.1007/978-981-33-6987-
0_27
9.
Carneiro, D., Novais, P., & Neves, J. (2014). Information Retrieval. In
Law,
Governance and Technology Series
(Vol. 18). https://doi.org/10.1007/978-3-319-
06239-6_7
10.
Azad, H. K., & Deepak, A. (2019). Query expansion techniques for
information retrieval: A survey.
Information Processing and Management
,
56
(5). https://doi.org/10.1016/j.ipm.2019.05.009
11.
Kharis, M., Laksono, K., Suhartono, Ridwan, A., Mintowati, &
Yuniseffendri. (2022). Tokenization and Lemmatization on German Learning
Textbook Level A1 of CEFR Standard.
Journal of Higher Education Theory and
Practice
,
22
(1). https://doi.org/10.33423/jhetp.v22i1.4971
12.
Razno, M. (2019). Machine learning text classification model with NLP
approach.
Computational Linguistics and IntelligeRazno, M. (2019). Machine
Learning Text Classification Model with NLP Approach. Computational Linguistics
and Intelligent Systems, 2(18-Apr-2019), 71–73.
13.
Http://Ena.Lp.Edu.Ua:8080/Handle/Ntb/45487nt Systems
,
2
(18-Apr-2019).
14.
O„zbek tili morfologik analizatori - http://uznatcorpara.uz/
|
