Product implicit attribute recognition method based on manifold learning

Abstract

The invention relates to a product comment implicit attribute recognition method based on manifold learning. After the product comment data is acquired from the internet, the following operations are carried out according to each comment sentence: the part-of-speech tagging and the grammar tagging are carried out, and explicit attributes and opinion words are extracted according to the grammatical relation; constructing a graph according to the co-occurrence relation and the semantic relation of the product attributes and the opinion words, and constructing a new space and reconstructing the relation graph by using the manifold learning method; and finally, deducing the implicit attributes according to the new graph so that product comments can be classified according to the attributes and the performance summaries and the detailed comments providing the product attribute granularity are presented. The product comment implicit attribute recognition method based on manifold learning has the advantage that the implicit attributes of the product comments without the attributes can be deduced according to the opinion words so that the product comment data can be classified according to the attributes. Due to the adoption of the product comment implicit attribute recognition method based on manifold learning, the use can browse the product comments according to the product attributes and focus on the product attributes interesting to the user, and the experience of the user can be improved.

Description

technical field [0001] The invention relates to the technical field of product attribute identification for opinion mining and a barrier-free web page browsing method, in particular to an implicit attribute identification method based on manifold learning. Background technique [0002] With the development of web2.0, the forum has received great attention from users, and many users discuss the experience of using the product on the forum of electronic products. In addition, online shopping has also entered a prosperous period. Websites offer product review features to online shopping users to enhance their experience. As a result, a large amount of product review data has been generated on the Internet. Users can understand the performance of a product through these data. But for a certain user, these massive comment data contain a lot of useless information on the one hand, because the user is only interested in some attributes of the product but not all, on the other ha...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the shortcomings of existing product review systems that cannot automatically identify product implicit attributes in reviews based on opinion words, resulting in inaccurate classification and summary of massive review data, a To understand the performance of a certain attribute of a product, in order to improve the experience of browsing product reviews, the present invention proposes a method for identifying implicit attributes of product reviews based on manifold learning, which includes the following steps:

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