title: ÐÐ¾Ð¸ÑÐº Ð¿ÑÐµÐ´Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð½ÑÑ ÐºÐ¾Ð½ÑÐµÐºÑÑÐ¾Ð² Ð² ÑÐµÐºÑÑÐ¾Ð²ÑÑ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ°Ñ
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Search for predefined contexts in text documents
Creators: name: ÐÐµÐ±ÐµÐ´ÐµÐ², ÐÐ³Ð¾Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2019
Subjects: ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð²
ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐºÑÑÐ°
Ð¿Ð°ÑÑÐ¸Ð½Ð³ Ð´Ð°Ð½Ð½ÑÑ
ÐºÐ¾Ð½Ð²ÐµÑÑÐ°ÑÐ¸Ñ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ¾Ð²
text classification
text recognition
data parsing
document conversion

description: Ð¦ÐµÐ»Ñ ÐÐÐ  Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¸ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ð¸ Ð¼Ð¾Ð´ÑÐ»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð¸Ð· ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¾ÑÑÐµÑÐ¾Ð² ÑÐ¸ÑÐµÐ» Ð² ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¼ Ð¸ Ð±ÑÐºÐ²ÐµÐ½Ð½Ð¾Ð¼ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¸. ÐÑÐ»Ð¸ ÑÐ°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸, Ð¸Ñ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð¾ÑÑÐ¸ Ð¸ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ Ð¸ Ð²ÑÐ±ÑÐ°Ð½ Ð½Ð°Ð¸Ð±Ð¾Ð»ÐµÐµ Ð¿Ð¾Ð´ÑÐ¾Ð´ÑÑÐ¸Ð¹ Ð² ÑÐ°Ð¼ÐºÐ°Ñ Ð¿Ð¾ÑÑÐ°Ð²Ð»ÐµÐ½Ð½Ð¾Ð¹ Ð·Ð°Ð´Ð°ÑÐ¸. ÐÑÐ» ÑÐ¿ÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½ Ð¸ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ ÑÐµÑÐ²Ð¸Ñ Ð´Ð»Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ¾Ð², ÑÐ¾ÑÑÐ¾ÑÑÐ¸Ð¹ Ð¸Ð· Â«Ð¼Ð¾Ð´ÑÐ»Ñ ÐºÐ¾Ð½Ð²ÐµÑÑÐµÑÐ° Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ¾Ð²Â», Â«Ð¼Ð¾Ð´ÑÐ»Ñ Ð¿Ð°ÑÑÐ¸Ð½Ð³Ð° Ð´Ð°Ð½Ð½ÑÑÂ», Â«Ð¼Ð¾Ð´ÑÐ»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐ°Ð±Ð»Ð¸ÑÂ», Â«Ð¼Ð¾Ð´ÑÐ»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐµÐºÑÑÐ°Â» Ð¸ Â«Ð¼Ð¾Ð´ÑÐ»Ñ ÑÐ¾ÑÐ¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð³Ð¾ÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑÂ». ÐÐ»Ñ ÑÐ¾Ð³Ð¾ ÑÑÐ¾Ð±Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÑÐ°Ð»Ð° Ð¿Ð¾Ð»Ð½Ð¾ÑÑÑÑ ÑÐ°Ð±Ð¾ÑÐ¾ÑÐ¿Ð¾ÑÐ¾Ð±Ð½Ð°, Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð° ÐµÐµ Ð°Ð¿ÑÐ¾Ð±Ð°ÑÐ¸Ñ Ð½Ð° ÑÐµÐ°Ð»ÑÐ½ÑÑ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐ°Ñ Ð¸ Ð´Ð¾ÑÐ°Ð±Ð¾ÑÐºÐ° Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ ÑÐµÐºÑÑÐ° Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð² ÑÐµÐºÑÑÐµ. Ð Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ðµ Ð²Ð¾Ð·Ð¼Ð¾Ð¶Ð½Ð° Ð°Ð´Ð°Ð¿ÑÐ°ÑÐ¸Ñ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð´ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐµ ÑÐ·ÑÐºÐ¸, Ð° ÑÐ°ÐºÐ¶Ðµ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð±Ð¾Ð»ÐµÐµ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÑÐ»Ñ ÑÐ°ÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ, ÑÑÐ¾ ÑÑÐµÐ±ÑÐµÑ Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ð¹.
description: The objective of the WRC is to develop and develop a data processing module to extract numbers in both numbers and letters from financial statements. The existing classification algorithms, their capabilities and efficiency were considered and the most suitable one was chosen within the framework of the task. A service for document processing was designed and developed, consisting of the "document Converter module", "data parsing module", "table recognition module", "text recognition module" and "ready data generation module".
In order for the system to become fully operational, it is necessary to test it on real financial documents and finalize the algorithms for text recognition and classification of parameters in the text. In the future, it is possible to adapt the system to different languages, as well as the implementation of a more effective recognition module, which requires additional research.