基于淘宝开放平台的商品评价分类研究

发布时间：2018-06-29 01:18

本文选题：淘宝API + 属性分类　；参考：《内蒙古科技大学》2014年硕士论文

【摘要】：淘宝开放平台是针对淘宝网各项商务业务开发出的开放平台，它为开发者提供了参与淘宝各项应用的基础材料，例如API、数据管理等。它的目标把淘宝网可以提供的许多服务及时方便的传送给希望借助平台对自己店铺进行管理改进的商家和有能力借助平台提供的服务进行研究开发的开发者。淘宝网作为国内最大的电商网站，每月每天甚至每小时的交易量都是相当大的，而作为买家在淘宝网上购买商品之后，无论对商品满意与否，都可以通过淘宝网提供的商品评价系统对所购买的商品做出自己的评价，这就产生了大量的评价信息。这些评价对今后购买同种商品的买家可以产生重要的指导作用；评价信息里反映出的买家对商品比较关注的一些问题也为卖家不断改进商品提供了方向。但是目前淘宝网的评价系统只是单纯的将买家的评价罗列在产品信息页面上，这些评价包含了买家对该商品在做工、款式、服务态度、发货速度、物流速度等相关评价属性的信息反馈，这对想查看该商品某种评价属性信息的买家和卖家造成了很大的困难。有些商品评价信息较少，可以通过逐条查看的的方法来获取需要的信息。但是对于有几千条甚至上万条评价信息的商品来说，逐条查看必定会耗费大量的精力，也无法取得较好的效果。同时，淘宝提供的好评、中评和差评都是由买家人工选择的。有时候买家对商品并不很满意，但是由于卖家服务态度较好等原因也给出了好评；而有些差评则是因为卖家服务态度不好或者物流送货不及时等原因，，但是商品本身质量并没有问题，这就对信息获取造成了误差。针对上面的问题设计并实现的淘宝商品评价属性分类系统，利用淘宝开放平台提供的API技术获取相关评价信息，然后按质量、物流和服务这三项关注度最高的属性将评价信息进行分类，并对每种属性按评价内容情感倾向度分别判别出好评和差评。本系统实现了买家在淘宝网意向商品的大量评价中筛选出自己希望了解的关于商品某属性的评价信息，同时也帮助卖家了解在售商品各个属性的买家反馈信息，从而更好的改进商品。
[Abstract]:The open platform of Taobao is an open platform developed for various business business of Taobao network. It provides the basic materials for developers to participate in the various applications of Taobao, such as API, data management, etc. its goal is to deliver a lot of services provided by the Taobao network to hope to improve the management of its own shop with the help of the platform. Developers and developers who are capable of using platform services.
Taobao net, as the largest e-commerce website in China, is quite large every month or even per hour. As a buyer, after buying goods on the Taobao net, no matter whether the goods are satisfied or not, it can be evaluated by the commodity evaluation system provided by Taobao, which has produced a large number of comments. Price information. These evaluations have an important guiding role to buy buyers of the same commodity in the future; some of the problems that the buyers pay more attention to in the evaluation information also provide the direction for the seller to constantly improve the commodity.
However, at present, the evaluation system of Taobao network simply lists the buyer's evaluation on the product information page. These evaluations include the buyer's feedback on the evaluation attributes of the goods in workmanship, style, service attitude, delivery speed, logistics speed and so on. This is the buyer and seller of some evaluation attribute information for the goods. There is a great deal of difficulty. Some goods have less information and can get the information needed by the way to view each other. But for a commodity with thousands or even tens of thousands of evaluation information, it will cost a lot of energy and can not achieve better results. At the same time, Taobao offers good comments, comments and poor results. The evaluation is selected by the buyer. Sometimes the buyer is not very satisfied with the goods, but the seller's service attitude is good, and some bad reviews are because the seller's service attitude is not good or the logistics delivery is not timely and so on, but the quality of the goods itself is not a problem, which causes the information acquisition. Error. The Taobao commodity evaluation attribute classification system designed and implemented on the above problems, uses the API technology provided by Taobao open platform to obtain relevant evaluation information, then classifies the evaluation information according to the three attributes of the highest quality, logistics and service, and each attribute is judged by the emotional inclination of the evaluation content respectively. The system realizes the buyer to screen out the evaluation information about the property of the goods and help the seller to understand the feedback information of the buyers in the sale of the goods in a large amount of evaluation of the intentional goods of Taobao net, and to improve the goods better.
【学位授予单位】：内蒙古科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.092

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