Machine Learning for Food Review and Recommendation. (arXiv:2201.10978v1 [cs.IR])

Web: http://arxiv.org/abs/2201.10978

Food reviews and recommendations have always been important for online food
service websites. However, reviewing and recommending food is not simple as it
is likely to be overwhelmed by disparate contexts and meanings. In this paper,
we use different deep learning approaches to address the problems of sentiment
analysis, automatic review tag generation, and retrieval of food reviews. We
propose to develop a web-based food review system at Nanyang Technological
University (NTU) named NTU Food Hunter, which incorporates different deep …

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