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Exploring linguistic features for extremist texts detection (on the material of Russian-speaking illegal texts)
P. 188-190.
In this paper we present results of a research on automatic extremist text detection. For this purpose an experimental dataset in the Russian language was created. According to the Russian legislation we cannot make it publicly available. We compared various classification methods (multinomial naive Bayes, logistic regression, linear SVM, random forest, and gradient boosting) and evaluated the contribution of differentiating features (lexical, semantic and psycholinguistic) to classification quality. The results of experiments show that psycholinguistic and semantic features are promising for extremist text detection.
In book
Institute of Electrical and Electronics Engineers Inc., 2017
Ананьева М. И., Кобозева М. В., Соловьев Ф. Н. et al., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2016 Т. 14 № 4 С. 5-13
Рассматриваются методы, используемые для обнаружения экстремистских текстов из Интернета. Дальнейшее исследование необходимо, чтобы найти новые методы классификации текстов и дифференцирующие признаки для классификации текстов экстремистской тематики. ...
Added: January 25, 2017
Lomotin K. E., Kozlova E. S., Romanov A., , in : Information Innovative Technologies: Materials of the International scientific–рractical conference. : M. : Association of graduates and employees of AFEA named after prof. Zhukovsky, 2017. P. 359-363.
The research is devoted to studying of applicability of most relevant modern classification methods to the issue of automatic universal decimal classificator code generation for arbitrary scientific article. The next methods are considered as classifiers: artificial neural network, logistic regression, naive Bayesian classifier and metrical ...
Added: July 30, 2017
Ломотин К. Е., Romanova I., В кн. : ФЭЭ 2017: Физика, Электроника, Электротехника. Материалы научно-технической конференции. : Сумы : СумДу, 2017. С. 152-152.
В процессе обработки текстов остро встает проблема нехватки производительности. Семантические и статистические модели документов требуют сложных вычислений, которые могут занимать длительное время. Эта проблема является преградой на пути внедрения последних разработок в области классификации текстов. В данной работе рассматривается проект аппаратного модуля, реализующего классификацию входящих документов по заданным тематикам. ...
Added: July 31, 2017
Durandin O., Zolotykh N., Хилал Н. Р. et al., Научно-технический вестник информационных технологий, механики и оптики 2017 № 1(107) С. 110-116
Subject of Research.We propose an approach for solving machine learning classification problem that uses the information about the probability distribution on the training data class label set. The algorithm is illustrated on a complex natural language processing task - classification of Arabic dialects. Method. Each object in the training set is associated with a probability distribution over ...
Added: February 8, 2017
Кусакин И. К., Цурупа А. М., Алмакаев А. В. et al., В кн. : НТИ-2022. Научная информация в современном мире: глобальные вызовы и национальные приоритеты : материалы 10-ой научной конференции с международным участием, посвященной 70-летию ВИНИТИ РАН, Москва, 25–26 октября 2022 года. : М. : ВИНИТИ РАН, 2022. С. 103-109.
This work is devoted to the study of approaches for training BERT-based classifiers of scientific articles to implement the application with the adoption of the best models for use in the infrastructure of the VINITI RAS. For this purpose, the BERT linguistic model was trained on a specialized corpus of scientific texts for subsequent use ...
Added: January 31, 2023
Smetanin S., Komarov M. M., , in : IEEE 23rd Conference on Business Informatics (CBI). : IEEE Computer Society, 2021. P. 65-70.
With the widespread use of online social networks, it is becoming more and more difficult to monitor and analyse all the user-generated content. Toxic speech in online conversations should be treated as a matter with serious social gravity, since it may result in both negative impacts on mental health and violent actions in the physical ...
Added: September 14, 2021
Kharlamov A. A., , in : Neuroinformatics and Semantic Representations: Theory and Applications. : Cambridge Scholars Publishing, 2020. P. 156-167.
На основе представлений об обработке информации в мозге человека [1] реализована технология автоматической смысловой обработки текстов TextAnalyst, позволяющая выявить ключевые понятия текста в их взаимосвязях, реализовать реферирование текстов и их смысловое сравнение (классификацию). Реализованы продукты, использующие функциональность этой технологии: персональный – TextAnalyst, и библиотека COM модулей – TextAnalyst SDK. ...
Added: December 7, 2021
Sergey Smetanin, Mathematics 2022 Vol. 10 No. 16 Article 2947
Policymakers and researchers worldwide are interested in measuring the subjective well-being (SWB) of populations. In recent years, new approaches to measuring SWB have begun to appear, using digital traces as the main source of information, and show potential to overcome the shortcomings of traditional survey-based methods. In this paper, we propose the formal model for ...
Added: August 15, 2022
Romanov A., Lomotin K.E., Kozlova E.S. et al., , in : 2016 International Siberian Conference on Control and Communications (SIBCON). Proceedings. : M. : HSE, 2016. Ch. 543fu4t.
In this work realization of automatic scientific articles classification according to Universal Decimal Classifier is presented. Efficiency of neural networks technologies application for current task is researched, and optimal neural network structure and parameters are offered ...
Added: June 11, 2016
Alekseev A., Tutubalina E., Kwon S. et al., , in : Analysis of Images, Social Networks and Texts. 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers. : Cham : Springer, 2022. P. 23-36.
In this work we explore the constructive side of online reviews: advice, tips, requests, and suggestions that users provide about goods, venues and other items of interest. To reduce training costs and annotation efforts needed to build a classifier for a specific label set, we present and evaluate several entailment-based zero-shot approaches to suggestion classification ...
Added: April 10, 2023
Bychkova A. A., В кн. : Вкус востока. : М. : , 2018. Гл. 5. С. 331-341.
As exemplified by food preferences and taboos of Naga tribes of India we try to analyze certain ethno-differentiating categories, e.g. attitude to different food, perception of eatable/ uneatable in the enmeshment of historical and structural motifs and symbols. ...
Added: February 26, 2019
Romanov A., Ломотин К. Е., Козлова Е. С., Информационные технологии 2017 Т. 23 № 6 С. 418-423
The paper deals with the applicability of modern machine learning methods to the problem of automatic generation of UDC for scientific articles. As the classifiers, such models as artificial neural networks, logistic regression and boosting are considered. Graph algorithms and a prototype software module to generate UDC are designed. ...
Added: July 30, 2017
Alimova I., Tutubalina E., , in : Analysis of Images, Social Networks and Texts. 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers. : Cham : Springer, 2022. P. 37-44.
Automatic monitoring of adverse drug events (ADEs) or reactions (ADRs) is currently receiving significant attention from the biomedical community. In recent years, user-generated data on social media has become a valuable resource for this task. Neural models have achieved impressive performance on automatic text classification for ADR detection. Yet, training and evaluation of these methods ...
Added: April 10, 2023
Karpov N., Demidovskij A., Malafeev A., , in : Supplementary Proceedings of the Sixth International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2017), Moscow, Russia, July 27-29, 2017. Vol. 1975.: Aachen : CEUR-WS.org, 2017. P. 69-78.
This paper presents a method to analyze discussions from social network by using deep learning. We have prepared a new dataset by collecting discussions from a social network and annotating remarks of the discussion. The annotation consists of two types of labels for each message: intention type and direction of intention. Using this dataset and ...
Added: November 14, 2017
Фирсанова В. И., Journal of Applied Linguistics and Lexicography 2021
The paper describes building a binary classifier with Convolutional Neural Network (CNN) using two different types of word vector representations, Bag-of-Words and Word Embeddings. The purpose of the classifier is to recognise messages published in virtual communities of drug-addicted people. This system may find application in healthcare as a tool for automatic identification of addicts’ ...
Added: September 25, 2023
Voronkov Ilia, Amajd M., Kaimuldenov Z., , in : Actual Problems of System and Software Engineering 2017. Proceedings of the 5th International Conference on Actual Problems of System and Software Engineering Supported by Russian Foundation for Basic Research. Project #17-07-20565 Moscow, Russia, November 14-16, 2017, 408 P. Vol. 1989.: Aachen : CEUR Workshop Proceedings, 2017. P. 362-370.
In this paper, we analyze the use of different neural networks for the
text classification task. The accuracy of the studied text classifiers can be
changed by a small number of previously classified texts. This is important due
to the fact that in many applications of text classification a large number of unlabeled texts are easily accessible, while ...
Added: August 16, 2018
Malafeev A., Nikolaev K., , in : Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information Science. Vol. 1086.: Springer, 2020. P. 154-159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
I. K. Kusakin, Fedorets O. V., A. Y. Romanov, Scientific and Technical Information Processing 2023 Vol. 50 No. 3 P. 176-183
This paper discusses modern approaches to natural language processing and the application of machine learning models to the task of classifying short scientific texts in Russian. This study is devoted to the analysis of methods for vectorization of textual information, selection of a model for scientific paper clas- sification, and training of linguistic model BERT ...
Added: November 4, 2023
Byzov A., Социология: методология, методы, математическое моделирование 2019 № 49 С. 131-160
Throughout most of their history, sociologists have sought to study unstructured organic texts: newspaper materials, diaries, memoirs, letters, documents, and, more recently, messages, publications and other texts on various online platforms. This article discusses how modern techniques of text mining can improve classical sociological approaches to the analysis of this type of data. The article ...
Added: December 9, 2019
Кусакин И. К., Федорец О. В., Romanov A., Научно-техническая информация. Серия 2: Информационные процессы и системы 2022 Т. 12 С. 6-9
This paper discusses modern approaches to natural language processing and appliance of artificial intelligence technologies in the task of classifying scientific texts in Russian. The report contains an analysis of implementations of text vectorization methods, a description of experiments with training various classifier models: from classical machine learning algorithms to neural network transformer architectures. ...
Added: January 31, 2023
Polyakov I. V., Соколова Т. В., Chepovskiy A. et al., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2015 Т. 13 № 2 С. 55-63
This paper presents a text classification method based on mutual information method. It was shown that word stems are universal features for text classification problem ...
Added: October 24, 2015
A. V. Belov, E. A. Egorova, Bulletin D. Serikbayev East Kazakhstan Technical University 2023 No. 4 P. 92-102
When conducting scientific and technical expertise, it is necessary to analyze the texts of reports on scientific research work. The analysis is carried out in order to determine whether the research being conducted belongs to the class of scientific research and development work in the field of IT. This article discusses the tasks of binary ...
Added: March 9, 2024
Litvinova T., Sboev A., Panicheva P., , in : Artificial Intelligence and Natural Language, 7th International Conference, AINL 2018, St. Petersburg, Russia, October 17–19, 2018, Proceedings. Issue 930.: Switzerland : Springer, 2018. P. 167-177.
The task of predicting demographics of social media users, bloggers and authors of other types of online texts is crucial for marketing, security, etc. However, most of the papers in authorship profiling deal with author gender prediction. In addition, most of the studies are performed in English-language corpora and very little work in the area ...
Added: February 19, 2019
Dmitry Romanov, Kazantsev N., Edgeeva E., , in : Business Process Management: Blockchain and Central and Eastern Europe Forum. BPM 2019. Vol. 361.: Springer, 2019. P. 337-341.
This paper studies ‘the order effect’ in decision making based on classification results of 120 000 citizen claims to Moscow Government. We use machine learning methods and derive that with 60% probability the first out of two consequent claims is prioritized. We conclude that this impact must be considered whilst developing artificial intelligence units. ...
Added: October 26, 2020