RESEARCHING METHODS FOR PROCESSING TEXT INFORMATION AND REVIEWING THE STAGES OF AN ARTIFICIAL INTELLIGENCE MODEL CREATION AT PRODUCING CHATBOTS

Author:

Ivanova Anastasiya1,Kuz'menko Aleksandr1,Filippov Rodion1,Filippova Lyudmila1,Sazonova Anna1,Leonov Yuriy2

Affiliation:

1. Bryansk State Technical University

2. Bryanskiy gosudarstvennyy tehnicheskiy universitet

Abstract

The task of producing a chatbot based on a neural network supposes machine processing of the text, which in turn involves using various methods and techniques for analyzing phrases and sentences. The article considers the most popular solutions and models for data analysis in the text format: methods of lemmatization, vectorization, as well as machine learning methods. Particular attention is paid to the text processing techniques, after their analyzing the best method was identified and tested.

Publisher

Bryansk State Technical University BSTU

Reference5 articles.

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