Authors
Vanushkin A.S. – assistant of the department, Pskov State University, Pskov, Russia.
Grashenko L.A. – junior researcher, Institute of Mathematics of the Academy of Sciences of the Republic of Tajikistan, Dushanbe, Tajikistan.
Annotation
The given article describes a software tool for exploring different aspects of extracting keywords from texts in natural languages. The researcher is provided with visual design and the text processing tract setting; calculation and visualization of efficiency indicators of a number of built-in graph algorithms. It is possible to expand the stand functionality. The first tests showed a significant spread in the accuracy of keywords extraction when comparing the size of texts.
Keywords
text processing, keywords, extraction algorithms, experimental stand.
|
Language english |
|
Type technical |
|
Year 2017 |
|
Page 19 |
Список использованной литературы
- Ванюшкин А.С. Методы и алгоритмы извлечения ключевых слов / А.С. Ванюшкин, Л.А. Гращенко // Новые информационные технологии в автоматизированных системах. – 2016. – №19 – С. 85–93.
- Marujo L., Gershman A., Carbonell J., Frederking R. Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization. Lrec 2012. pp 399–403.
- Mihalcea R., Tarau P. TextRank: Bringing order into texts Proc. EMNLP 2004. Vol. 4 pp. 404–411.
- Palshikar G. Keyword Extraction from a Single Document Using Centrality Measures. Pattern Recognit. Mach. Intell, LNCS 2007. Vol. 4851 pp. 503–510.
- Rose S., Engel D., Cramer N., Cowley W. Automatic Keyword Extraction from Individual Documents. Text Min. Appl. Theory. 2010. pp. 1–20.
Publication date
2023-09-25