Hybridization of linguistic and statistical methods of text analysis for describing the subject area in the form of a fuzzy ontology

Рабин, А. В.; Petrushevskaya, A. A.

doi:10.1088/1742-6596/1679/4/042008

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Rabin & Petrushevskaya proposed a hybrid method of linguistics and statistical methods based on text analysis, developed an algorithm for selecting different n-grams and forming subject area descriptions in the form of fuzzy ontologies, in order to improve the efficiency of summarization [17], Chatterjee & Yadav built a model that uses fuzzy rough to calculate the similarity between documents and different sentences in documents [18],…”

Section: A Fuzzy Techniques In Statistical Methodsmentioning

confidence: 99%

Review of Survey Research in Fuzzy Approach for Text Mining

Lai

Chen

2023

IEEE Access

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Text mining has been common research field, with the emergence of Web 2.0 and the development of social software, the amount of text generated every day has increased dramatically. The texts contain a lot of valuable information, how to analysis for the information from text is very important. Therefore, many research have explored related methods and various fields of text mining, such as sentiment analysis, text clustering, text summarization, etc., However, unlike other numerical data that can be directly calculated in terms of character performance, the calculation must be performed after vector conversion, and the words may have polysemy, which provides more challenges for natural language processing. Due to the above challenges, various techniques are used for data preprocessing before analysis. In addition to the common statistical and discrete methods for text data, methods based on fuzzy logic provide another option for effective natural language analysis, Therefore, in recent years, more and more studies have added Fuzzy logic to additionally capture the context semantics of individual words to help more accurate natural language processing. This survey research discusses multiple text mining methods, The survey paper discusses multiple text mining methods, subfields and application fields, covering the literature published between 2010 and 2022, It is organized to the subtasks to be performed, the methods and natural language processing techniques used, and the application scenarios. At the end of this study, the research has provided the key point discussion and relevant suggestions for text mining combined with fuzzy logic.

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Section: A Fuzzy Techniques In Statistical Methodsmentioning

confidence: 99%

Review of Survey Research in Fuzzy Approach for Text Mining

Lai

Chen

2023

IEEE Access

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“…Data in the format of triplets "subject" -"predicate" -"object" Repositories are represented by a database for primary preprocessed data stored for statistical and multivariate analysis, a knowledge base for complex inferences, and an external resource of related data [11].…”

Section: Ontologymentioning

confidence: 99%

Hybrid client‐server implementation and microservice architecture of automatic documentation analysis software

Petrushevskaya¹,

Рабин²

2022

Proceedings of the v International Workshop on Modeling, Information Processing and Computing (MIP: Computing-v 2022)

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An approach to the construction of an adaptive architecture for enterprise software has been developed in order to increase the efficiency of automated processing of documents using semantic and cognitive technologies. The proposed approach takes advantage of the existing methods of organizing the architecture of applied software. It is substantiated that the architecture of the developed software for automatic cataloging should have a hybrid clientserver implementation, including elements of modular and microservice architecture. It is shown that a significant reduction in the costs of cataloging, checking the completeness and inventory of documentation, as well as an increase in the quality of design are provided through the semantic analysis of documentation using a knowledge base that is updated automatically.

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Development of the mechanism for graphical analysis formation for pattern recognition of technical documentation and converting graphic information into machine-readable form

Petrushevskaya¹,

Рабин²

2022

PROCEEDINGS OF THE II INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS, SYSTEMS AND TECHNOLOGIES: (CAMSTech-II 2021)

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Hybridization of linguistic and statistical methods of text analysis for describing the subject area in the form of a fuzzy ontology

Cited by 4 publications

References 7 publications

Review of Survey Research in Fuzzy Approach for Text Mining

Review of Survey Research in Fuzzy Approach for Text Mining

Hybrid client‐server implementation and microservice architecture of automatic documentation analysis software

Development of the mechanism for graphical analysis formation for pattern recognition of technical documentation and converting graphic information into machine-readable form

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