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Method and System for Generating Review Summaries

机译:评审摘要的生成方法和系统

摘要

The present disclosure relates to a method and a system for generating sentiment-based summaries for a user review. In an embodiment, a text analyzer receives a block of text indicating a user review. The text analyzer may generate one or more vectors for the plurality of words. Further, a relation is identified among the one or more vectors. A model is trained to identify a relation among the one or more vectors. Using the relation between the one or more vectors, a sentiment associated with the block of text is determined. Thereafter, one or more keywords from the block of text contributing to the determined sentiment is are identified and are classified into categories according to the sentiment contributed by the one or more words. Thereafter, the summary is generated for each category using the corresponding one or more words.
机译:本公开涉及一种用于生成用于用户评论的基于情感的摘要的方法和系统。在一个实施例中,文本分析器接收指示用户评论的文本块。文本分析器可以为多个单词生成一个或多个向量。此外,在一个或多个向量之间识别关系。训练模型以识别一个或多个向量之间的关系。利用一个或多个矢量之间的关系,确定与文本块相关联的情感。此后,识别来自有助于确定的情感的文本块中的一个或多个关键字,并根据由一个或多个单词贡献的情感将其分类。此后,使用相应的一个或多个单词为每个类别生成摘要。

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