Classification of short texts using a wave model
Quantum computing algorithms are actively developed and applied in the field of natural language processing. The authors of the paper proposed a new quantum-like method for classifying short texts. The basis of the method is the representation of the text as an ensemble of elementary particles. The...
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| Format: | Article |
| Language: | English |
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Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
2022-04-01
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| Series: | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
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| Online Access: | https://ntv.ifmo.ru/file/article/21132.pdf |
| _version_ | 1818278687137595392 |
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| author | Anastasia S. Gruzdeva Igor A. Bessmertny |
| author_facet | Anastasia S. Gruzdeva Igor A. Bessmertny |
| author_sort | Anastasia S. Gruzdeva |
| collection | DOAJ |
| description | Quantum computing algorithms are actively developed and applied in the field of natural language processing. The authors of the paper proposed a new quantum-like method for classifying short texts. The basis of the method is the representation of the text as an ensemble of elementary particles. The value of the detection probability amplitude of a given ensemble at the selected points in space is chosen as a classification criterion. In this case, the space is understood as a vector space described using the distributive-semantic model of the language. The authors suggested one of the possible ways of interpreting the parameters of the wave function that describes the behavior of an elementary particle, as well as an algorithm for calculating the probability amplitude taking into account these parameters. For the experimental research of the described method, authors performed the classification of Internet communities by topics. For the analysis, the names and the “information” section of communities were used. In total, 100 groups of the social network “VKontakte” belonging to five various topics were taken. The proposed model showed rather high classification accuracy (91 % in general on the data set and from 75 % to 95 % within individual classes). The proposed model is supposed to be used to classify user comments about goods, services and events, as well as to determine some properties of the psychological portraits of users of online communities. |
| first_indexed | 2024-12-12T23:21:23Z |
| format | Article |
| id | doaj.art-485d12af85e1450ba1ce40370f726012 |
| institution | Directory Open Access Journal |
| issn | 2226-1494 2500-0373 |
| language | English |
| last_indexed | 2024-12-12T23:21:23Z |
| publishDate | 2022-04-01 |
| publisher | Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) |
| record_format | Article |
| series | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| spelling | doaj.art-485d12af85e1450ba1ce40370f7260122022-12-22T00:08:16ZengSaint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki2226-14942500-03732022-04-0122228729310.17586/2226-1494-2022-22-2-287-293Classification of short texts using a wave modelAnastasia S. Gruzdeva0https://orcid.org/0000-0003-4963-0823Igor A. Bessmertny1https://orcid.org/0000-0001-6711-6399PhD student, ITMO University, Saint Petersburg, 197101, Russian FederationD.Sc., Full Professor, ITMO University, Saint Petersburg, 197101, Russian Federation, sc 36661767800Quantum computing algorithms are actively developed and applied in the field of natural language processing. The authors of the paper proposed a new quantum-like method for classifying short texts. The basis of the method is the representation of the text as an ensemble of elementary particles. The value of the detection probability amplitude of a given ensemble at the selected points in space is chosen as a classification criterion. In this case, the space is understood as a vector space described using the distributive-semantic model of the language. The authors suggested one of the possible ways of interpreting the parameters of the wave function that describes the behavior of an elementary particle, as well as an algorithm for calculating the probability amplitude taking into account these parameters. For the experimental research of the described method, authors performed the classification of Internet communities by topics. For the analysis, the names and the “information” section of communities were used. In total, 100 groups of the social network “VKontakte” belonging to five various topics were taken. The proposed model showed rather high classification accuracy (91 % in general on the data set and from 75 % to 95 % within individual classes). The proposed model is supposed to be used to classify user comments about goods, services and events, as well as to determine some properties of the psychological portraits of users of online communities.https://ntv.ifmo.ru/file/article/21132.pdfclassificationnatural language processingwave modelinterferencequantum-like modeldefinition of the text subject |
| spellingShingle | Anastasia S. Gruzdeva Igor A. Bessmertny Classification of short texts using a wave model Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki classification natural language processing wave model interference quantum-like model definition of the text subject |
| title | Classification of short texts using a wave model |
| title_full | Classification of short texts using a wave model |
| title_fullStr | Classification of short texts using a wave model |
| title_full_unstemmed | Classification of short texts using a wave model |
| title_short | Classification of short texts using a wave model |
| title_sort | classification of short texts using a wave model |
| topic | classification natural language processing wave model interference quantum-like model definition of the text subject |
| url | https://ntv.ifmo.ru/file/article/21132.pdf |
| work_keys_str_mv | AT anastasiasgruzdeva classificationofshorttextsusingawavemodel AT igorabessmertny classificationofshorttextsusingawavemodel |