title: ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½Ð¾Ð³Ð¾ ÑÐ¾Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ñ Ð² ÑÐµÐºÑÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° doc2vec
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Software system for detecting fraudulent content in text data using the doc2vec algorithm
Creators: name: ÐÐ³ÑÐµÐ½ Ð¥Ð°Ð¹ ÐÐµÐ½
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: 2022
Subjects: ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐµÐºÑÑÐ¾Ð² Ð½Ð° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð¼ ÑÐ·ÑÐºÐµ
Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½Ð¾ÑÑÑ
ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½Ð¾Ðµ Ð¿Ð¸ÑÑÐ¼Ð¾
natural language processing
fraudulence
email

description: ÐÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð² Ð¾Ð±Ð»Ð°ÑÑÐ¸ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½Ð¾Ð³Ð¾ ÑÐ¾Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ñ Ð² ÑÐµÐºÑÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ. ÐÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ¸, Ð¸Ð·ÑÑÐµÐ½Ñ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ ÑÐµÑÐ½Ð¾Ð»Ð¾Ð³Ð¸Ð¸ Ð´Ð»Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½Ð¾ÑÑÐ¸ Ð² ÑÐµÐºÑÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ, Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¸Ñ ÑÑÐ°Ð²Ð½Ð¸ÑÐµÐ»ÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·, Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½ Ð¾Ð±Ð·Ð¾Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð²Ð»Ð¾Ð¶ÐµÐ½Ð¸Ð¹ ÑÐ»Ð¾Ð², Ð²ÑÑÐ²Ð»ÐµÐ½Ñ Ð½ÐµÐ´Ð¾ÑÑÐ°ÑÐºÐ¸ Ð¸ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ÑÑÑ Ð½Ð¾Ð²ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Doc2Vec. ÐÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ñ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¾ÑÐ¾Ð² Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð² Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ.Ð ÑÐ°Ð¼ÐºÐ°Ñ ÑÐ°Ð±Ð¾ÑÑ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½ Ð¿Ð¾Ð´ÑÐ¾Ð´, ÐºÐ¾ÑÐ¾ÑÑÐ¹ Ð¿Ð¾Ð·Ð²Ð¾Ð»Ð¸Ñ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÑÑÑ Ð²ÑÐµÐ´Ð¾Ð½ÑÐ½Ð¾Ðµ ÑÐ¾Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ðµ Ð² ÑÐµÐºÑÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ. Ð Ð¾ÑÐ½Ð¾Ð²Ðµ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð° Ð±ÑÐ´ÐµÑ Ð»ÐµÐ¶Ð°ÑÑ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Â Doc2Vec. Ð Ð°ÑÑÐ¼Ð¾ÑÑÐµÐ½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð¿ÑÐµÐ´Ð²Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾Ð³Ð¾ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð½Ð°Ð±Ð¾ÑÐ° ÑÐµÐºÑÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ. ÐÐ¿Ð¸ÑÐ°Ð½Ð¾ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°Â Doc2Vec Ð´Ð»Ñ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸. ÐÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ð±ÑÐ» ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½ Ð² Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÐ¸ÑÑÐµÐ¼Ðµ Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ñ Ð²ÑÐµÐ´Ð¾Ð½Ð¾ÑÐ½Ð¾Ð³Ð¾ ÑÐ¾Ð´ÐµÑÐ¶Ð°Ð½Ð¸Ñ Ð²Â  ÑÐµÐºÑÑÐ¾Ð²ÑÑ Ð´Ð°Ð½Ð½ÑÑ. ÐÐ¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´, ÑÐ¾ÑÐ½ÐµÐµ, ÑÐµÐ¼ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ðµ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð½ÑÐµ Ð´ÑÑÐ³Ð¸Ð¼Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð°Ð¼Ð¸ Ð²Ð»Ð¾Ð¶ÐµÐ½Ñ ÑÐ»Ð¾Ð² (2-27% accuracy).
description: The master's thesis focuses on research into detecting fraudulent content in text data. Characteristics are examined, existing technologies for determining the harmfulness of text data are examinated and compared, a review of word embedding methods is conducted, and flaws and the need for a new approach based on the Doc2Vec algorithm are identified. Classifier algorithms based on machine learnign algorithms are presented.An approach is proposed as part of the work that will allow you to detect fraudulent content in text data. The Doc2Vec algorithm will be used to guide the process. The methods for pre-processed text data are discussed. The Doc2Vec algorithm is described in detail for model training.The proposed method was used to create a software system that could detect fraudulent context in text data. According to the results of the implementation, the proposed approach is more accurate than the existing ones used by other word embedding algorithms (2-27% accuracy).