A semantic framework for textual data enrichment

Published: 01 Jan 2016, Last Modified: 18 Jun 2024Expert Syst. Appl. 2016EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A semantic framework for recommender systems is presented.•An in-depth analysis of different Natural Language Processing resources is showed.•A description of different Natural Language Processing approaches is addressed.•Related research works are described.•A case of study to evaluate our proposal with real data is presented.
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