A semantic framework for textual data enrichment

作者：

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.

摘要

•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.

论文关键词：Recommender systems,Framework,Integrated semantic resources,Sentiment analysis,Word Sense Disambiguation,Content categorisation

论文评审过程：Received 23 December 2015, Revised 29 February 2016, Accepted 25 March 2016, Available online 30 March 2016, Version of Record 11 April 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.048