Computational linguistics and intelligent systems
Permanent URI for this communityhttps://ena.lpnu.ua/handle/ntb/39447
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Item Algorithm of text recognizing in Ukrainian on the video mode(онлайн, 2020) Tymoshenko Kateryna; Vysotska VictoriaOCR technology for recognizing text in Ukrainian is imperfect. The Android operating system contains a character repository of many languages, but not the Ukrainian. Therefore, we propose a method and algorithm for recognizing text in Ukrainian and modifying it for video mode.[1].Item Intelligent system development of distant matrix analysis for recruitment in the IT sector(онлайн, 2020) Kutyuk Orest; Lytvyn Vasyl; Oborska Oksana; Vysotska Victoria; Dosyn Dmytro; Demchuk Andriy; Burov Yevhen; Kravets PetroDevelopment of intelligent system matrix analysis distant for recruitment in the IT sector. To achieve the goal must perform the following tasks: to conduct a study of the literature and identify which ones are best suited to the subject of work; to conduct a study of existing software and decide which ones are relevant to the theme of work; perform system analysis about ‘the object of the study; develop optimal solutions for tasks; design and develop a software interface to work with the client system; develop an algorithm to calculate customer data systems; design and develop a software interface for visualization client system. Object of research is analysis distant knowledge. Subject of study is intelligent analysis matrix distant for recruitment in the IT sector. The paper improved analysis algorithm multicriterion TOPSIS, which can significantly improve the accuracy of the assessment. Output can be used to simplify the process of finding and hiring candidates of IT recruiters and get them a full analysis of the relevant knowledge distant positions.Item Problems of ontology structure and meaning optimization and theirs solution methods(онлайн, 2020) Lytvyn Vasyl; Oborska Oksana; Vysotska Victoria; Dosyn Dmytro; Demchuk Andriy; Burov Yevhen; Kravets Petro; Oleksiv NazarThis article are considered optimization problems that occurs during automatic building an ontology about its structure and meaning. A number of this problem have been formed. Has been considered methods and algorithms of their solving.Item Sarcasm definition in the comments of social networks(онлайн, 2022) Zanchak Maria; Vysotska VictoriaThe 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.Item Determining the mood in the lyrics of famous modern artists(онлайн, 2022) Zanchak Maria; Vysotska VictoriaThe 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).Item 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 MykhailoSpeech 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.Item 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 IrynaThis 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.Item 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 MykhailoVirtual 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.Item The scientific degree determination of the scientific and technical text author(онлайн, 2022) Konyk Myroslav; Vysotska VictoriaThis 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.Item Information system for sounding Ukrainian-language text based on NLP methods and machine learnin(онлайн, 2022) Byelousov Illya; Vysotska Victoria; Shakleina IrynaThis 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.