INFORMATION TECHNOLOGIES FOR TEXT DATA MINING

Kundiz Maksutova, Rozamgul Niyazova, Karshyga Akishev, Amandos Tulegulov
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Abstract

Therefore, in the field of machine learning, the task of automatically creating a text annotation was born. Thus, automatic annotation of the text helps to understand the content of a scientific article, to get new excerpts from news. This applies to all areas, as it significantly reduces training time. Saving time on training is relevant, as many articles are published annually describing the improvement of existing solutions. This article presents methods and techniques for processing natural languages, including text annotation.
文本数据挖掘信息技术
因此,在机器学习领域,自动创建文本注释的任务应运而生。因此,文本自动注释有助于理解科学文章的内容,从新闻中获取新的摘录。这适用于所有领域,因为它大大减少了训练时间。节省训练时间具有重要意义,因为每年都有许多文章介绍现有解决方案的改进情况。本文介绍了处理自然语言的方法和技术,包括文本注释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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