Attribute word clustering method and device
A clustering method and attribute word technology, applied in text database clustering/classification, unstructured text data retrieval, instruments, etc., can solve the problems of weak domain, high cost, time-consuming and labor-intensive labor etc.
Active Publication Date: 2021-01-22
BEIJING GRIDSUM TECH CO LTD
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However, this method is often not domain-specific, and the accuracy rate is not high; the other is to cluster or classify attribute words through manual annotation. Although the accuracy rate can be ensured, it is time-consuming and labor-intensive, and the cost is high.
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[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0046] It can be seen from the background technology that in the prior art, the degree of similarity between two words is obtained by using word similarity calculation, and then the attribute word clustering result obtained by clustering the attribute words is not high; Clustering or classification of words can ensure accuracy, but it is time-consuming and labor-intensive, and the cost is high. Therefore, the present invention discloses a new technical scheme ...
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The invention discloses an attribute word clustering method and device. By obtaining the attribute words, constructing the first attribute word relationship graph, obtaining the evaluation words, calculating the new similarity value between the attribute words based on the evaluation words, and referring to the edges in the first attribute word relationship graph based on the new similarity value The initial similarity value is updated to obtain the second attribute word relationship graph; delete the edges in the second attribute word relationship graph according to the preset deletion threshold to obtain the third attribute word relationship graph, and determine the corresponding third attribute word relationship Graph attribute word clustering results. Calculate the new similarity value between attribute words through the evaluation words, and delete the edges in the attribute word relationship graph according to the preset deletion threshold, that is, adjust the similarity between attribute words, so as not to rely on manual labeling In this case, the attribute word clustering result with higher accuracy is obtained.
Description
technical field [0001] The present invention relates to the field of computer application technology, and more specifically relates to an attribute word clustering method and device. Background technique [0002] At present, in the specific computer technology field of entity attribute extraction for some application fields, the clustering of attribute words is an important step in the field entity attribute extraction. For example, in the evaluation relationship extraction, if the extracted evaluation attribute words are many and some attribute words are not standardized, or there are many descriptions for the same component or the same attribute, the direct display is not intuitive enough. At this time, through the clustering of attribute words, the evaluation under a certain attribute in the comments can be displayed intuitively, and it can also help users understand the fine-grained sentiment and evaluation of the product, and discover the advantages and disadvantages of...
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IPC IPC(8): G06F16/35G06F40/247
CPCG06F40/247G06F16/35
Inventor 韩旭红
Owner BEIJING GRIDSUM TECH CO LTD