Penerapan Algoritma Text Mining Dan TF-RF Dalam Menentukan Promo Produk Pada Marketplace

Charles Joergensen E Munthe, Nelly Astuti Hasibuan, Hukendik Hutabarat
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引用次数: 4

Abstract

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.
在像今天这样日益复杂和现代化的时代发展中,在线市场是电子商务服务或虚拟买卖服务的一种,它是卖家和买家在网上处理买卖交易的会议场所。文本挖掘是一种以文本形式挖掘数据的过程,其数据源通常从文档中获取,目标是找到能够表示文档内容的单词,以便对文档之间的连通性进行分析。文本挖掘的过程包括标记化、词干提取和过滤过程。收集数据的方法是库法。应用程序开发的阶段包括流程设计、表设计、实现和系统测试。这个期末项目的工作使用了一个市场案例研究。在这个最终的项目中,使用了文本挖掘算法和TF-RF算法来确定市场上的产品促销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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