Bootstrapping algorithm for extracting viewpoint evaluation objects based on dependence relationship template

A technology for evaluating objects and dependencies, applied in computing, special data processing applications, instruments, etc., can solve the problems of ignoring the role of emotional words, low recall rate, and only considering the co-occurrence rate, so as to improve extraction performance and avoid noise Effect

Active Publication Date: 2016-12-28
福州果集信息科技有限公司
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Problems solved by technology

Wei Jin et al. marked synonyms and synonyms of candidate opinion evaluation objects as candidate opinion evaluation objects, and then retrained the model, but this method brought many low-frequency words to affect the recognition performance
Shu Zhang et al. used a graph model to identify opinion evaluation objects and emotional words, and regarded the opinion evaluation objects and emotional words as an evaluation collocation relationship pair. Every time m candidate opinion evaluation objects were added, n candidate emotional words were generated, and this was continuously iteratively generated. Opinion evaluation objects and emotional words, the disadvantage of this method is that when evaluating candidate opinion evaluation objects, only the co-occurrence

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  • Bootstrapping algorithm for extracting viewpoint evaluation objects based on dependence relationship template
  • Bootstrapping algorithm for extracting viewpoint evaluation objects based on dependence relationship template
  • Bootstrapping algorithm for extracting viewpoint evaluation objects based on dependence relationship template

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] This embodiment provides a Bootstrapping algorithm for extracting opinion evaluation objects based on a dependency template, which specifically includes the following steps:

[0044] Step S1: Find the words that match the initial dependency relationship template centering on the emotional words, and filter the words to obtain candidate opinion evaluation object words;

[0045] Step S2: Use the following formula to calculate the score of the candidate point of view evaluation object word j:

[0046] sw j = Σ i = 1 u w i j * Σ ...

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Abstract

The invention relates to a Bootstrapping algorithm for extracting viewpoint evaluation objects based on a dependence relationship template. The grammar and semantic relationships between emotion words and viewpoint evaluation object words are considered, the dependence relationship template between the viewpoint evaluation object words and the emotion words is constructed, and the viewpoint evaluation objects are extracted with the Bootstrapping method. By means of the Bootstrapping algorithm, noise caused by the method that evaluation objects are extracted directly by a vocabulary context is avoided, and the extracting performance of the viewpoint evaluation objects is improved.

Description

technical field [0001] The invention relates to the field of viewpoint mining, in particular to a Bootstrapping algorithm for extracting viewpoint evaluation objects based on dependency relationship templates. Background technique [0002] With the rapid development of the network, a brand-new mode involving a large number of users has emerged on the Internet—Users Generate Content (UGC) mode. On UGC, users publish comments on events, products, and people. These comments are of great value and significance to user purchase decisions, interest mining, personalized information services, public opinion monitoring, and information prediction. However, the number of these comments is huge, the quality is uneven, and most of them are short text descriptions, so manual analysis and mining are extremely difficult. Therefore, the design and implementation of opinion mining tools for comments has become one of the hot issues in the fields of natural language processing and data mining...

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/35G06F40/30G06F2216/03
Inventor 杨晓燕徐戈
Owner 福州果集信息科技有限公司
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