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Decomposing composite product reviews

机译:分解复合产品评论

摘要

One or more processors deconstruct, by utilizing natural language processing (NLP), a text product review into multiple n-grams, where each of the multiple n-grams is a sequence of words from the text product review, and where each of the multiple n-grams is a review of a particular component from the multiple components of the product. The processor(s) generate a component numeric rating value (CNRV) for each of the multiple n-grams using machine learning techniques such as collaborative filtering, and store CNRVs for the multiple components of the product together with identifiers of particular components of the product. The processor(s) receive a request for a particular CNRV for the particular component of the product, retrieve the particular CNRV, and then transmit the particular CNRV to a requesting device of the request in order to adjust an operational feature of the requesting device.
机译:一个或多个处理器通过利用自然语言处理(NLP)将文本产品评论解构为多个n-gram,其中多个n-gram中的每一个都是来自文本产品评论的单词序列,并且其中多个n-grams是产品多种成分中特定成分的综述。处理器使用诸如协作过滤之类的机器学习技术为多个n-gram中的每一个生成组件数字评分值(CNRV),并将产品的多个组件的CNRV与产品特定组件的标识符一起存储。处理器接收针对产品的特定组件的特定CNRV的请求,检索特定CNRV,然后将特定CNRV发送到请求的请求设备,以便调整请求设备的操作功能。

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