|
|
Publications in Math-Net.Ru
-
Automatic evaluation of interpretability methods in text categorization
Zap. Nauchn. Sem. POMI, 530 (2023), 68–79
-
Trusted artificial intelligence: challenges and promising solutions
Dokl. RAN. Math. Inf. Proc. Upr., 508 (2022), 13–18
-
Automated analysis of family values of vkontakte users
Intelligent systems. Theory and applications, 26:1 (2022), 190–195
-
Automatic sentiment analysis of texts: problems and methods
Intelligent systems. Theory and applications, 26:1 (2022), 50–61
-
NEREL: A Russian dataset with nested named entities and relations
Intelligent systems. Theory and applications, 25:4 (2021), 243–249
-
Automatic extraction of social network users' attitudes on reproductive behavior issues
Program Systems: Theory and Applications, 12:4 (2021), 33–63
-
Weakly supervised word sense disambiguation using automatically labelled collections
Proceedings of ISP RAS, 33:6 (2021), 193–204
-
Methods of lexicon integration with machine learning for sentiment analysis system
Artificial Intelligence and Decision Making, 2017, no. 2, 78–89
-
Combining corpus and thesaurus information for extracting sentiment words
Sistemy i Sredstva Inform., 25:1 (2015), 20–33
-
Topic models: adding bigrams and taking account of the similarity between unigrams and bigrams
Num. Meth. Prog., 16:2 (2015), 215–234
-
Open evaluating sentiment analysis systems in Russian
Artificial Intelligence and Decision Making, 2014, no. 1, 25–33
-
Construction of a Model for the Cross-Domain Opinion Word Extraction
Model. Anal. Inform. Sist., 20:2 (2013), 70–79
-
News cluster structure as a basis of automatic entity detection
Artificial Intelligence and Decision Making, 2011, no. 4, 51–59
-
Extraction and use of opinion words for the three-way review
classification problem
Num. Meth. Prog., 12:4 (2011), 73–81
-
Automatic term extraction based on feature combination
Num. Meth. Prog., 11:4 (2010), 108–116
-
Automatic Text Categorization: Methods and Problems
Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki, 150:4 (2008), 25–40
-
Linguistic ontology on natural sciences and technologies for information-retrieval applications
Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki, 149:2 (2007), 49–72
© , 2024