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

Camargo J.L.; Miranda M.E.C.; Chávez R.A.P.; Quispe F.K.V.; Muñoz I.J.T.; Flores L.J.R. · Iberian Conference on Information Systems and Technologies, CISTI (2022) · DOI: 10.23919/cisti54924.2022.9820263

Resumen

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.

Instituciones: Universidad Nacional Federico Villarreal