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Extracting new product ideas from consumer blogs

机译:从消费者博客中提取新产品创意

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This paper introduces a web mining approach for automatically identifying and extracting new product ideas from internet blogs. There are a large amount of web logs for nearly each topic, where consumers present their needs for new products. These new product ideas are valuable to producers, researchers and developers because they can lead to a new product development process, a well-known task in marketing. However, the current approach towards extraction of these new product ideas involves employed analysts to process these blogs manually and extract the new product ideas. Here, presented is an automated approach towards the extraction of new product ideas through knowledge extraction and using scripting languages, which not only eliminates human error, but also speeds up the entire process of new product idea extraction. Thus, several product development solutions allow engineers, suppliers, business partners and even customers to collaborate throughout the entire product lifecycle via the Internet.
机译:本文介绍了一种网络挖掘方法,用于自动识别和提取Internet博客中的新产品构想。几乎每个主题都有大量的Web日志,消费者在此介绍他们对新产品的需求。这些新产品构想对生产者,研究人员和开发人员来说非常有价值,因为它们可以引导新产品开发过程,这是行销领域的一项众所周知的任务。但是,当前提取这些新产品构想的方法涉及雇用分析师来手动处理这些博客并提取新产品构想。本文介绍了一种通过知识提取和使用脚本语言来提取新产品创意的自动化方法,它不仅消除了人为错误,而且还加快了新产品创意提取的整个过程。因此,几种产品开发解决方案允许工程师,供应商,业务合作伙伴甚至客户通过Internet在整个产品生命周期中进行协作。

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