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