Proposal of the methodology oriented to the automatic generation of content in SEO positioning

J. L. Camargo, Maria Elena Campos Miranda, Ricardo Alexander Perez Chavez, Frank Kevin Villa Quispe, Isaac Jhon Torres Munoz, Leony Jahiro Ramirez Flores
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引用次数: 0

Abstract

This electronic document will detail the necessary forms to be able to make a prototype capable of positioning the web pages of companies (SEO positioning), through the application of Natural Language Processing and Deep Learning. This research collects good practices and proposes a model oriented towards natural language processing (NLP) through deep learning, incorporating a methodology to implement it in all types of organization and improve the objectives and strategies of the marketing process, as well as generate results. that benefit these companies in terms of attracting new customers. For the development of the new model, some tools such as sitemap, Google Cloud tools, among others, are incorporated. This methodology begins with the identification of information left by users when generating an internet search and leads to the generation of automatic and precise content, generating a type of deep learning so that better results are issued more accurately.
提出了面向内容自动生成的SEO定位方法
这个电子文档将详细说明必要的形式,以便能够通过应用自然语言处理和深度学习,使原型能够定位公司的网页(SEO定位)。本研究收集了良好的实践,并通过深度学习提出了一个面向自然语言处理(NLP)的模型,并结合了一种方法来实现它在所有类型的组织中,改进营销过程的目标和策略,并产生结果。这有利于这些公司吸引新客户。对于新模型的开发,一些工具,如站点地图、谷歌云工具等,都被纳入其中。这种方法首先识别用户在生成互联网搜索时留下的信息,然后生成自动和精确的内容,从而生成一种深度学习,以便更准确地发布更好的结果。
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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