Name
Title | ||
|---|---|---|
The Text Classification Based on Big Data Analysis for Keyword Definition Using Stemming |
Abstract | ||
|---|---|---|
Software for steaming Ukrainian-language texts has been developed and implemented, and methods for classifying texts written in Ukrainian using the Porter algorithm. The software product is made in the Python programming language, using the NLTK library. An analysis of existing methods such as classification, clustering and others was performed. Methods of vectorisation of text data and patterns of keeping the dictionary have been considered. Moreover, information about previously analysed data has been saved. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CSIT52700.2021.9648764 | 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT) |
Keywords | DocType | Volume |
stemming,lemmatisation,neural network,Bayesian classifier,python programming language,word model,natural language,Ukrainian texts,classification,clustering,Python,NLTK,text classification | Conference | 1 |
ISSN | ISBN | Citations |
2766-3655 | 978-1-6654-4258-9 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrii Berko | 1 | 0 | 1.01 |
| Yurii Matseliukh | 2 | 0 | 0.34 |
| Yurii Ivaniv | 3 | 0 | 0.34 |
| Lyubomyr Chyrun | 4 | 0 | 1.35 |
| Vadim Schuchmann | 5 | 0 | 1.35 |