论文信息 - Extracting Information from Food-Related Textual Sources - 字舞流文

Extracting Information from Food-Related Textual Sources

Alessandra Amato | Giovanni Cozzolino | Francesco Bonavolontà

[1] Flora Amato,et al. A semantic-based methodology for digital forensics analysis , 2020, J. Parallel Distributed Comput..

[2] S. Jaeger,et al. Using Twitter data for food-related consumer research: A case study on “what people say when tweeting about different eating situations” , 2015 .

[3] Chunmei Zheng,et al. A Study of Web Information Extraction Technology Based on Beautiful Soup , 2015, J. Comput..

[4] Walter Balzano,et al. Genomic comparison using data mining techniques based on a possibilistic fuzzy sets model , 2007, Biosyst..

[5] Pasquale Arpaia,et al. Academic FabLabs for industry 4.0: Experience at University of Naples Federico II , 2018, IEEE Instrumentation & Measurement Magazine.

[6] Luigi Ferrigno,et al. Multi-channel simultaneous data acquisition through a compressive sampling-based approach , 2014 .

[7] Flora Amato,et al. An integrated framework for securing semi-structured health records , 2015, Knowl. Based Syst..

[8] Tome Eftimov,et al. A Survey of Named-Entity Recognition Methods for Food Information Extraction , 2020, IEEE Access.

[9] A. Gisolfi,et al. Constructing and consulting the knowledge base of an expert systems shell , 1993 .