Penerapan Algoritma Text Mining Dan TF-RF Dalam Menentukan Promo Produk Pada Marketplace
DOI:
https://doi.org/10.30865/resolusi.v2i3.309Keywords:
Text Mining; TF-RF; MarketplaceAbstract
In the development of an increasingly sophisticated and modern era like today, the online marketplace is one of the e-commerce services or virtual buying and selling services which is a meeting place between sellers and buyers online to process buying and selling transactions. Determining the Algorithm Text mining is a process of mining data in the form of text where the data source is usually obtained from documents and the goal is to find words that can represent the contents of the document so that an analysis of the connectivity between documents can be carried out. Processes in text mining include tokenization, stemming and filtering processes. The method of collecting data is the library method. The stages of application development include process design, table design, implementation and system testing. The work in this final project uses a case study on a marketplace. In which this final project uses the Text Mining algorithm and the TF-RF algorithm in determining product promotions in the marketplace.
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Copyright (c) 2022 Charles Joergensen E Munthe, Nelly Astuti Hasibuan, Hukendik Hutabarat
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