Computational Linguistics and Intelligent Systems. – 2022 р.

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/56962

Періодичне видання за матеріалами конференції

It is our pleasure to present the proceedings of the Workshop Conference of COLINS-2022, the fourth edition of the International Conference on Computational Linguistics and Intelligent Systems, held in Lviv (Ukraine) on May 12-13, 2022. ISSN 2523-4013

Computational Linguistics and Intelligent Systems. – Lviv, 2022. – Volume 2 : Proceedings of the 6nd International conference, COLINS 2022. Workshop, Gliwice, Poland, May 12–13, 2022. – 306 p. – URL: https://colins.in.ua/wp-content/uploads/2022/07/VolumeII_Colins2022.pdf (дата звернення: 21.10.2022).

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    Sarcasm definition in the comments of social networks
    (онлайн, 2022) Zanchak Maria; Vysotska Victoria
    The work aims to build a classifier of sarcasm using machine learning methods and NLP. A study was conducted with several ways of machine learning (Logistic Regression and Naive Bayesian Classifier) using the properties of TF-IDF and PoS and their combinations.
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    Determining the mood in the lyrics of famous modern artists
    (онлайн, 2022) Zanchak Maria; Vysotska Victoria
    The article aims to compare the moods in the lyrics of famous modern artists of various genres (from pop to rap) and to understand what emotions dominate in the lyrics that listen to modern youth. The lyrics of three famous artists were chosen for this: Taylor Swift (due to his significant influence on pop culture in general), BTS (due to their significant influence on young people around the world), and Eminem (as a cult representative of rap culture).
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    Information system for online ordering of medicines for people with disabilities
    (онлайн, 2022) Yarechuk Dmytro; Andrunyk Vasyl
    Abstract. The purpose of writing this article is to create an information system that can help make online orders of medicines for people with disabilities and receive their parcels at home or in the post department. This is very relevant today because, in Ukraine, there are almost no pharmacies with home delivery of medicines, and pharmacies that provide home delivery have several weaknesses. The object is methods of online sales to people with disabilities. This article considers the major advantages and disadvantages of existing systems.
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    Information system for converting audio Ukrainian-language text into written one based on NLP methods and machine learning
    (онлайн, 2022) Tyshchuk Yuriy; Vysotska Victoria; Luchkevych Mykhailo
    Speech recognition provides various ways to analyse and process a user's recorded voice. It allows people to control different systems that are using one of the types of speech recognition. Speech-totext conversion is also a type of speech recognition that uses unscripted conversational data for further processing. This system involves several steps to process an audio file using electro-acoustic tools, sound filtering algorithms to find only relevant sounds, electronic datasets for the chosen language, and mathematical models that find appropriate words for a list of phonemes. People whose professions are related to typing large amounts of text using the keyboard can significantly speed up, facilitate the work process and reduce stress using systems that convert Speech-To-Text. In addition, such systems help businesses because remote work is becoming increasingly popular, and companies need tools for translating recorded audio from meetings to text for further analysis and systematization. The work's study object is converting audio in the Ukrainian language into its textual representation using NLP methods and machine learning. The scope of the research is audio file processing algorithms for finding relevant sounds and recognizing phonemes, as well as mathematical models for identifying words using an array of found phonemes. The work aims to design and develop an information system for converting audio in the Ukrainian language into its textual representation. According to the developments and calculations presented in work, namely: analysis of algorithms, areas of application and review of analogue problems in the first stage, the system analysis of the information system in the second stage and analysis and selection of relevant technologies and software development tools in the third stage, the information system for converting audio in the Ukrainian language into its textual representation was implemented in the form of a web application called «Ukrainian Speech-to-text», which is a technology for accurate and easy analysis of Ukrainian-language audio files and their other transcription into text. The application supports uploading files from the file system, recording them using a microphone, and saving the analysed data. The system is ready for use.
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    Information system for forecasting sales of the range of building materials on the online trading platform based on the neural network tensor flow
    (онлайн, 2022) Semkiv Mykhaylo; Vysotska Victoria; Shakleina Iryna
    This work is devoted to creating a system for forecasting sales of building materials numbers on the online trading platform based on the neural network Tensor flow. It was decided to develop an information-analytical system by building a tree of goals and analysing the hierarchy. The system is created as an application that runs in a web browser. The application will be available to everyone with the ability to add restrictions later. Sales forecasting is done by obtaining data from various APIs and working with ready-made data sets, allowing you to forecast the future product offer dates. To get a sales forecast, you need to enter data, train the model, validate our finished model and make a forecast.
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    Statistical and linguistic methods for the recognition of automatically generated texts
    (онлайн, 2022) Lukashevskyj Arsenij; Khairova Nina
    This article is devoted to a detailed study of methods for determining machine-generated texts, a review of linguistic models trained on the publicly available sources, and a research of the problems associated with this.
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    Information system of virtual reality tour of the ISN Department at LPNU with elements of full immersion as a platform for an open day
    (онлайн, 2022) Kuznyetsov Oleksiy; Vysotska Victoria; Luchkevych Mykhailo
    Virtual reality (VR) is an important technology that allows significant progress to be made in under-covered areas. Immersive multimedia, or virtual reality, is a computer-simulated environment that can mimic a physical presence in the real or imagined world. Innovative applications, such as high-tech systems that integrate display technology, modelling technology, network technology, artificial touch technology, and computer graphics technology have made VR a breakthrough in technology. Virtual reality tours are one way to simulate a presence in a city where a person cannot be physically present at the moment. When viewing virtual tours with videos or photos, a person sees only a flat image and cannot interact with it. Thus, the effect of the fact that it is present in that place is lost. Virtual reality, with the result of complete immersion, eliminates these disadvantages almost completely and allows you to interact with objects located in the virtuality of the scene with the natural movements of your body. In addition, in a short period, with her help, she can visit many places without leaving home, which in real life cannot be done because you need to get to certain areas, which takes time. The research's objective is to conduct an interactive virtual reality tour of the ISN Department of LPNU. The research subject is the means and methods of designing and developing information systems for the virtual reality tour of the ISN Department of LPNU. The practical significance of the obtained results is the implemented information system of the interactive tour of the ISN Department of LPNU. The scientific novelty of the obtained results is the information system of virtual reality, which is designed for a tour of the ISN Department of LPNU with elements of complete immersion as a platform for an open day.
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    The scientific degree determination of the scientific and technical text author
    (онлайн, 2022) Konyk Myroslav; Vysotska Victoria
    This article discusses the main methods used to solve classification problems and texts to determine the scientific degree of the author of scientific and technical text. A data set was taken to classify and cluster the text containing scientific articles from different fields.
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    Information system for sounding Ukrainian-language text based on NLP methods and machine learnin
    (онлайн, 2022) Byelousov Illya; Vysotska Victoria; Shakleina Iryna
    This work is devoted to developing an information system for sounding Ukrainian-language text based on NLP methods and machine learning. The authors analyzed the pros and cons of the implemented software solutions for the Ukrainian-language text and took them into account during the implementation of the information system. Methods and frameworks that ensure theapplication's correct, fast and stable operation are also described. A user manual has been created for the correct use of the created system. All processes of using the program are shown, and the control example for productivity confirmation and work of the program is analyzed.
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    System of analysis and recommendations for premedical care
    (онлайн, 2022) Boshtan Anastasiia; Basyuk Taras
    The article describes the features of creating a system of analysis and providing recommendations for premedical care. A methodological study on the relevance of the subject area, analyzed existing systems-analogs, outlined methods and approaches to design. The system has been designed using a structural approach, design tools have been selected and a software tool has been developed that implements the functionality of analyzing and providing recommendations for premedical care. Further research will focus on testing the system and developing related modules.