Methods of text`s processing and analysis in natural languages
Journal Title: Інформаційно-керуючі системи на залізничному транспорті - Year 2018, Vol 23, Issue 6
Abstract
The article analyzes the methods of processing and analysis of texts in natural languages and discusses the main problems of natural language processing, that is, the necessity of data structuring and data systematization. The analysis of emotional coloring of the text is also important. These include the principles of the construction and operation of deep networks and recurrent neural networks. The article provides information about the using of neural networks with memory to form answers custom questions. It describes the use of Tree-LSTM used to analyze the emotional coloring of statements. The use of neural machine translation to find phrasal matches is also considered. The relevance of this direction is determined by the need to process large amounts of textual information which were accumulated by mankind lately in the global information space. It is shown that the analysis of text data has a great importance in the modern world.
Authors and Affiliations
S. Dotsenko, K. Radoutsky, V. Panasenko, A. Mastiuk, D. Kamynina
Keywords
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- EP ID EP499927
- DOI 10.18664/ikszt.v0i6.151638
- Views 143
- Downloads 0
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