文章基本信息

标题：FOOD CLASSIFICATIONS IN TRAVEL REVIEW DATASET
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作者：Dr.G.Ayyappan ; Dr.A.Kumaravel
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2019
卷号：10
期号：4
页码：104-110
出版社：Engg Journals Publications
摘要：Travel and Tourism sector has vast growth in a current situation. So Recommender models are embryonic as anecessary to travel and tourism sector. Due to usage of Social media in current situation, huge volumes ofrecorded fact have been developed. Traditional system may not be enough for managing these kinds of data. Sonew system need to be developed in this research work based of the food classification made in travel andreview dataset. These researches focus on the various classifications and visualize threshold curvemeasurements and time taken to build the each model. More or less Bayes and Function classifier have beenproduced the highest accuracy in this research work.
关键词：NaiveBayesMultinomialText; MultiScheme; ZeroR; SGDText; Travel Review