Purpose In this study, the authors seek to introduce ways that show that in the age of artificial intelligence (AI), selective dissemination of information (SDI) performance can be greatly …
The goal of this research is to build a machine-learning model, as well as preliminary data process and feature extraction algorithms that would allow to successfully identify signs of …
Real-time sentiment analysis allows to monitor social networks and process negative comments before the situation worsens, gives an opportunity to gather customer response to …
In the rapidly evolving domain of conversational agents, the integration of Large Language Models (LLMs) into Chatbot Development Platforms (CDPs) is a significant innovation. This …
The work aims to analyse words of different parts of speech in Ukrainian texts to identify the speaker's purpose of using certain parts of speech to express his opinion fully. Our analysis …
V Vysotska, M Bublyk, A Vysotsky… - 2020 IEEE 15th …, 2020 - ieeexplore.ieee.org
Some problems of electronic commerce are analyzed in proposed paper. Generalized model of such kind systems are proposed. The Internet-system of electronic commerce …
Motivation of this work is a data-centric approach of improving model accuracy by improving data quality instead of improving model architecture. The idea is to improve dataset with …
The goal of paper is to develop a natural language processing system to extract relevant information from criminal reports or fake/propaganda. A detailed description of the …
D Aksonov, A Gozhyj, I Kalinina… - 2021 IEEE 16th …, 2021 - ieeexplore.ieee.org
This article describes the process of Question-Answering Systems Development Based on Big Data Analysis. The methods and tools of the developed product, namely Naive Bayer …