title: Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Development of a machine learning model for text classification
Creators: name: ÐÑÐ¸ÑÐ¾Ð²Ð°, ÐÐ½Ð°ÑÑÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2022
Subjects: Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÑÐµÐºÑÑÐ°
Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐºÑÑÐ°
machine learning
text classification
text analysis

description: Ð¢ÐµÐ¼Ð° Ð²ÑÐ¿ÑÑÐºÐ½Ð¾Ð¹ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ: Â«Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ°Â». ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð¿ÑÐ¾ÑÐµÐ½ÑÐ½Ð¾Ð³Ð¾ ÑÐ¾Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ñ Ð¶ÐµÑÑÐ¾ÐºÐ¾Ð³Ð¾ ÑÐµÐºÑÑÐ° Ð½Ð° ÑÐ·ÑÐºÐµ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ ÑÐµÑÐ°Ð»Ð¸ÑÑ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: ÐÐ¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð°ÐºÑÑÐ°Ð»ÑÐ½Ð¾ÑÑÐ¸ ÑÐ°Ð·ÑÐ°Ð±Ð°ÑÑÐ²Ð°ÐµÐ¼Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¸ Ð¸Ð·ÑÑÐµÐ½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹. ÐÐ½Ð°Ð»Ð¸Ð· Ð¿ÑÐ¾ÑÐµÑÑÐ° Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ°. ÐÑÐ±Ð¾Ñ Ð¼ÐµÑÐ¾Ð´Ð° ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ°. ÐÑÐ±Ð¾Ñ Ð¼ÐµÑÑÐ¸ÐºÐ¸ Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÑÐµÐºÑÑÐ°. ÐÐ°Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ Ð¿Ð°ÑÑÐµÑÐ° Ð´Ð»Ñ ÑÐ±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ Ð´Ð»Ñ Ð¿Ð¾ÑÑÑÐ¾ÐµÐ½Ð¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ. ÐÐ±ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ¾Ð±ÑÐ°Ð½Ð½ÑÑ Ð´Ð°Ð½Ð½ÑÑ. ÐÐ¾ÑÑÑÐ¾ÐµÐ½Ð¸Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ. ÐÐ½Ð°Ð»Ð¸Ð· ÑÐ°Ð±Ð¾ÑÑ ÑÐ¾Ð·Ð´Ð°Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸. Ð¡Ð¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ° Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸ Django.Â Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð° Ð½Ð° ÑÐ·ÑÐºÐµ Python Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¾Ð±Ð»Ð°ÑÐ½Ð¾Ð¹ ÑÑÐµÐ´Ñ Ð´Ð»Ñ ÑÐ°Ð±Ð¾ÑÑ Ñ ÐºÐ¾Ð´Ð¾Ð¼ Google Collaboratory, Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½ÐµÐ½Ð¸ÐµÐ¼ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐº Pandas, sk-learn, Catboost. Ð¡Ð¾Ð·Ð´Ð°Ð½Ð¸Ðµ Ð²ÐµÐ±-Ð¸Ð½ÑÐµÑÑÐµÐ¹ÑÐ° Ð±ÑÐ»Ð¾ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð±Ð¸Ð±Ð»Ð¸Ð¾ÑÐµÐºÐ¸ Django. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¸ ÑÐ¾Ð·Ð´Ð°Ð½ Ð²ÐµÐ±-Ð¸Ð½ÑÐµÑÑÐµÐ¹Ñ Ð´Ð»Ñ Ð½Ð°ÑÐ¾Ð¶Ð´ÐµÐ½Ð¸Ñ Ð¿ÑÐ¾ÑÐµÐ½ÑÐ° Ð¶ÐµÑÑÐ¾ÐºÐ¾Ð³Ð¾ ÑÐµÐºÑÑÐ° Ð² Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐµ.
description: The theme of the final qualifying work is: Developing of machine learningâs model for text classification. This work is about machine learningâs model for classification of books by ratio of cruelty in given text. As base programming language was used python. Main targets which were solved during this work: Understanding relevancy for developed model and examination of existing solutions. Analyzing the process of text classification model construction. Choosing of method for text classification. Determining of base metrics for text classification. Creation system for collecting data for using in developing of machine learning model. Processing collected data. Creation of machine learning model. Analyzing of the results of work of the created model. Developing the web application for using the created model through web interface. Developing of machine learning model was performed with using python programming language and Google Collaboratory cloud platform. During development of model were used Pandas, SK-Learn, Catboost libraries. For creation of web interface was used Django framework.As the result of the work was developed the machine learning model for determine ratio of cruelty in a text and provided web interface which give opportunity to use the created model.Â Â