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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