基于文本挖掘的产品评价模型研究

Research on Evaluation Model of Products Based on Text Mining

摘要: 伴随着信息技术的飞速发展，产品评价也面临着越来越多的挑战，如产品更新换代速度快，产品复杂程度变高等，因此提供科学的评价体系，为商家和消费者的决策提供依据，实现商家和消费者的共赢显得尤为重要。基于此，本文以手机为代表的电子产品为研究对象，利用文本挖掘的知识和技术，提取了评价手机质量的六个评价指标：外观、屏幕、相机、系统、功能和电池，并确定各个指标的权重，接着利用ROSTCM6对评价指标进行情感分析，之后构造模糊综合评价模型对选取的对象进行综合评价。最后本文把中国品牌手机OPPO和国外品牌手机iPhone作为进行实证分析研究对象，对文本挖掘的流程及产品综合模糊评价模型进行验证，并对评价的结果进行科学性分析。

Abstract: With the rapid development of information technology, product evaluation is also facing more and more challenges, such as product update speed, product complexity, so providing a scientific evaluation system for business and consumers to provide a basis for decision-making, to achieve a win-win business and consumers is particularly important. Based on this, this paper takes the electronic product represented by mobile phone as the research object, uses the knowledge and technology of text mining to extract six evaluation indexes of the quality of the mobile phone: ap-pearance, screen, camera, system, function and battery, and determine the weight of each index, then use ROSTCM6 to carry on the emotional analysis to the evaluation index. Then the fuzzy comprehensive evaluation model is constructed to evaluate the selected objects. In the end, the Chinese brand mobile OPPO and the foreign brand mobile phone iPhone are used as the empirical research objects, and the process of text mining and the fuzzy evaluation model of the product are verified, and the results of the evaluation are scientifically analyzed.